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Добірка наукової літератури з теми "Perceptual Quality Assessment"

Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Perceptual Quality Assessment"

Fang, Yuming, Liping Huang, Jiebin Yan, Xuelin Liu, and Yang Liu. "Perceptual Quality Assessment of Omnidirectional Images." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 580–88. http://dx.doi.org/10.1609/aaai.v36i1.19937.

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Omnidirectional images, also called 360◦images, have attracted extensive attention in recent years, due to the rapid development of virtual reality (VR) technologies. During omnidirectional image processing including capture, transmission, consumption, and so on, measuring the perceptual quality of omnidirectional images is highly desired, since it plays a great role in guaranteeing the immersive quality of experience (IQoE). In this paper, we conduct a comprehensive study on the perceptual quality of omnidirectional images from both subjective and objective perspectives. Specifically, we construct the largest so far subjective omnidirectional image quality database, where we consider several key influential elements, i.e., realistic non-uniform distortion, viewing condition, and viewing behavior, from the user view. In addition to subjective quality scores, we also record head and eye movement data. Besides, we make the first attempt by using the proposed database to train a convolutional neural network (CNN) for blind omnidirectional image quality assessment. To be consistent with the human viewing behavior in the VR device, we extract viewports from each omnidirectional image and incorporate the user viewing conditions naturally in the proposed model. The proposed model is composed of two parts, including a multi-scale CNN-based feature extraction module and a perceptual quality prediction module. The feature extraction module is used to incorporate the multi-scale features, and the perceptual quality prediction module is designed to regress them to perceived quality scores. The experimental results on our database verify that the proposed model achieves the competing performance compared with the state-of-the-art methods.

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Da, Pan, GuiYing Song, Ping Shi, and HaoCheng Zhang. "Perceptual quality assessment of nighttime video." Displays 70 (December 2021): 102092. http://dx.doi.org/10.1016/j.displa.2021.102092.

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Hamberg, Roelof, and Huib de Ridder. "Continuous assessment of perceptual image quality." Journal of the Optical Society of America A 12, no. 12 (December 1, 1995): 2573. http://dx.doi.org/10.1364/josaa.12.002573.

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Wang, Yinan, Andrei Chubarau, Hyunjin Yoo, Tara Akhavan, and James Clark. "Age-specific perceptual image quality assessment." Electronic Imaging 35, no. 8 (January 16, 2023): 302–1. http://dx.doi.org/10.2352/ei.2023.35.8.iqsp-302.

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Elloumi, Nessrine, Habiba Loukil Hadj Kacem, Nilanjan Dey, Amira S. Ashour, and Med Salim Bouhlel. "Perceptual Metrics Quality." International Journal of Service Science, Management, Engineering, and Technology 8, no. 1 (January 2017): 63–80. http://dx.doi.org/10.4018/ijssmet.2017010105.

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A 3D mesh can be subjected to different types of operations, such as compression, watermarking etc. Such processes lead to geometric distortions compared to the original version. In this context, quantifying the resultant modifications to the original mesh and evaluating the perceptual quality of degraded meshes become a critical issue. The perceptual 3D meshes quality is central in several applications to preserve the visual appearance of these treatments. The used metrics results have to be well correlated to the visual perception of humans. Although there are objective metrics, they do not allow the prediction of the perceptual quality, and do not include the human visual system properties. In the current work, a comparative study between the perceptual quality assessment metrics for 3D meshes was conducted. The experimental study on subjective database published by LIRIS / EPFL was used to test and to validate the results of six metrics. The results established that the Mesh Structural Distortion Measure metric achieved superior results compared to the other metrics.

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Yang, Huan, Yuming Fang, and Weisi Lin. "Perceptual Quality Assessment of Screen Content Images." IEEE Transactions on Image Processing 24, no. 11 (November 2015): 4408–21. http://dx.doi.org/10.1109/tip.2015.2465145.

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Agudelo-Medina, Oscar A., Hernan Dario Benitez-Restrepo, Gemine Vivone, and Alan Bovik. "Perceptual Quality Assessment of Pan-Sharpened Images." Remote Sensing 11, no. 7 (April 11, 2019): 877. http://dx.doi.org/10.3390/rs11070877.

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Pan-sharpening (PS) is a method of fusing the spatial details of a high-resolution panchromatic (PAN) image with the spectral information of a low-resolution multi-spectral (MS) image. Visual inspection is a crucial step in the evaluation of fused products whose subjectivity renders the assessment of pansharpened data a challenging problem. Most previous research on the development of PS algorithms has only superficially addressed the issue of qualitative evaluation, generally by depicting visual representations of the fused images. Hence, it is highly desirable to be able to predict pan-sharpened image quality automatically and accurately, as it would be perceived and reported by human viewers. Such a method is indispensable for the correct evaluation of PS techniques that produce images for visual applications such as Google Earth and Microsoft Bing. Here, we propose a new image quality assessment (IQA) measure that supports the visual qualitative analysis of pansharpened outcomes by using the statistics of natural images, commonly referred to as natural scene statistics (NSS), to extract statistical regularities from PS images. Importantly, NSS are measurably modified by the presence of distortions. We analyze six PS methods in the presence of two common distortions, blur and white noise, on PAN images. Furthermore, we conducted a human study on the subjective quality of pristine and degraded PS images and created a completely blind (opinion-unaware) fused image quality analyzer. In addition, we propose an opinion-aware fused image quality analyzer, whose predictions with respect to human perceptual evaluations of pansharpened images are highly correlated.

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Hu, Anzhou, Rong Zhang, Dong Yin, Yuan Chen, and Xin Zhan. "Perceptual quality assessment of SAR image compression." International Journal of Remote Sensing 34, no. 24 (October 24, 2013): 8764–88. http://dx.doi.org/10.1080/01431161.2013.846488.

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Chan, Kit Yan, and Ulrich Engelke. "Fuzzy regression for perceptual image quality assessment." Engineering Applications of Artificial Intelligence 43 (August 2015): 102–10. http://dx.doi.org/10.1016/j.engappai.2015.04.007.

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Shahriari, Y., Q. Ding, R. Fidler, M. Pelter, Y. Bai, A. Villaroman, and X. Hu. "Perceptual Image Processing Based Ecg Quality Assessment." Journal of Electrocardiology 49, no. 6 (November 2016): 937. http://dx.doi.org/10.1016/j.jelectrocard.2016.09.040.

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Дисертації з теми "Perceptual Quality Assessment"

Dhakal, Prabesh, Prabhat Tiwari, and Pawan Chan. "Perceptual Video Quality Assessment Tool." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2576.

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Subjective video quality is a subjective characteristic of video quality. It is concerned with how a video is perceived by the viewer and designates his or her opinion on the particular video sequence. Subjective video quality tests are quite expensive in terms of time (preparation and running) and human resources. The main objectives of this testing is how the human observes the video quality since they are the ultimate end user. There are many ways of testing the quality of the videos. We have used ITU-T Recommendation P.910.
In our research work, we have designed the tool that can be used to conduct a mass-scale level survey or subjective tests. ACR is the only method used to carry out the subjective video assessment. The test is very useful in the context of a video streaming quality. The survey can be used in various countries and sectors with low internet speeds to determine the kind of video or the compression technique, bit rate, or format that gives the best quality.
0700627491, 0760935352

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Yang, Kai-Chieh. "Perceptual quality assessment for compressed video." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3284171.

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Thesis (Ph. D.)--University of California, San Diego, 2007.
Title from first page of PDF file (viewed Mar. 14, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 149-156).

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Rix, Antony W. "Perceptual techniques in audio quality assessment." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/14286.

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This thesis discusses quality assessment of audio communications systems, in particular telephone networks. A new technique for time-delay estimation based on a smoothed weighted histogram of frame-by-frame delays is presented. This has low complexity and is found to be more robust to non-linear distortions typical of telephone networks. This technique is further extended to identify piecewise constant delay, enabling models to be used for assessing packet-based transmission such as voice over IP, where delay may change several times during a measurement. It is shown that equalisation improves the accuracy of perceptual models for measurements that may include analogue or acoustic components. Linear transfer function estimation is found to be unreliable due to non-linear distortions. Spectral difference and phaseless cross-spectrum estimation methods for identifying and equalising the linear transfer function are implemented for this application, operating in the filter-bank and short-term Fourier spectrum domains. This thesis provides the first detailed examination of the process of selecting and mapping multiple objective perceptual distortion parameters to estimated subjective quality. The systematic variation of subjective opinion between tests is examined and addressed using a new method of monotonic polynomial regression. The effect on conventional regression techniques, and a new joint optimisation process, are considered.

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Savvides, Vasos E. "Perceptual models in speech quality assessment and coding." Thesis, Loughborough University, 1988. https://dspace.lboro.ac.uk/2134/36273.

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The ever-increasing demand for good communications/toll quality speech has created a renewed interest into the perceptual impact of rate compression. Two general areas are investigated in this work, namely speech quality assessment and speech coding. In the field of speech quality assessment, a model is developed which simulates the processing stages of the peripheral auditory system. At the output of the model a "running" auditory spectrum is obtained. This represents the auditory (spectral) equivalent of any acoustic sound such as speech. Auditory spectra from coded speech segments serve as inputs to a second model. This model simulates the information centre in the brain which performs the speech quality assessment.

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Zhu, Shu-Yu. "Perceptual wavelet coding and quality assessment for still image." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/MQ53450.pdf.

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Huynh-Thu, Quan. "Perceptual quality assessment of communications-grade video with temporal artefacts." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502128.

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Osberger, Wilfried. "Perceptual vision models for picture quality assessment and compression applications." Thesis, Queensland University of Technology, 1999.

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Guarnieri, Gabriele. "High dynamic range images: processing, display and perceptual quality assessment." Doctoral thesis, Università degli studi di Trieste, 2009. http://hdl.handle.net/10077/3121.

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2007/2008
The intensity of natural light can span over 10 orders of magnitude from starlight to direct sunlight. Even in a single scene, the luminance of the bright areas can be thousands or millions of times greater than the luminance in the dark areas; the ratio between the maximum and the minimum luminance values is commonly known as dynamic range or contrast. The human visual system is able to operate in an extremely wide range of luminance conditions without saturation and at the same time it can perceive fine details which involve small luminance differences. Our eyes achieve this ability by modulating their response as a function of the local mean luminance with a process known as local adaptation. In particular, the visual sensation is not linked to the absolute luminance, but rather to its spatial and temporal variation. One consequence of the local adaptation capability of the eye is that the objects in a scene maintain their appearance even if the light source illuminating the scene changes significantly. On the other hand, the technologies used for the acquisition and reproduction of digital images are able to handle correctly a significantly smaller luminance range of 2 to 3 orders of magnitude at most. Therefore, a high dynamic range (HDR) image poses several challenges and requires the use of appropriate techniques. These elementary observations define the context in which the entire research work described in this Thesis has been performed. As indicated below, different fields have been considered; they range from the acquisition of HDR images to their display, from visual quality evaluation to medical applications, and include some developments on a recently proposed class of display equipment. An HDR image can be captured by taking multiple photographs with different exposure times or by using high dynamic range sensors; moreover, synthetic HDR images can be generated with computer graphics by means of physically-based algorithms which often involve advanced lighting simulations. An HDR image, although acquired correctly, can not be displayed on a conventional monitor. The white level of most devices is limited to a few hundred cd/m² by technological constraints, primarily linked to the power consumption and heat dissipation; the black level also has a non negligible luminance, in particular for devices based on the liquid crystal technology. However, thanks to the aforementioned properties of the human visual system, an exact reproduction of the luminance in the original scene is not strictly necessary in order to produce a similar sensation in the observer. For this purpose, dynamic range reduction algorithms have been developed which attenuate the large luminance variations in an image while preserving as far as possible the fine details. The most simple dynamic range reduction algorithms map each pixel individually with the same nonlinear function commonly known as tone mapping curve. One operator we propose, based on a modified logarithmic function, has a low computational cost and contains one single user-adjustable parameter. However, the methods belonging to this category can reduce the visibility of the details in some portions of the image. More advanced methods also take into account the pixel neighborhood. This approach can achieve a better preservation of the details, but the loss of one-to-one mapping from input luminances to display values can lead to the formation of gradient reversal effects, which typically appear as halos around the object boundaries. Different solutions to this problem have been attempted. One method we introduce is able to avoid the formation of halos and intrinsically prevents any clipping of the output display values. The method is formulated as a constrained optimization problem, which is solved efficiently by means of appropriate numerical methods. In specific applications, such as the medical one, the use of dynamic range reduction algorithms is discouraged because any artifacts introduced by the processing can lead to an incorrect diagnosis. In particular, a one-to-one mapping from the physical data (for instance, a tissue density in radiographic techniques) to the display value is often an essential requirement. For this purpose, high dynamic range displays, capable of reproducing images with a wide luminance range and possibly a higher bit depth, are under active development. Dual layer LCD displays, for instance, use two liquid crystal panels stacked one on top of the other over an enhanced backlight unit in order to achieve a dynamic range of 4 ÷ 5 orders of magnitude. The grayscale reproduction accuracy is also increased, although a “bit depth” can not be defined unambiguously because the luminance levels obtained by the combination of the two panels are partially overlapped and unevenly spaced. A dual layer LCD display, however, requires the use of complex splitting algorithms in order to generate the two images which drive the two liquid crystal panels. A splitting algorithm should compensate multiple sources of error, including the parallax introduced by the viewing angle, the gray-level clipping introduced by the limited dynamic range of the panels, the visibility of the reconstruction error, and glare effects introduced by an unwanted light scattering between the two panels. For these reasons, complex constrained optimization techniques are necessary. We propose an objective function which incorporates all the desired constraints and requirements and can be minimized efficiently by means of appropriate techniques based on multigrid methods. The quality assessment of high dynamic range images requires the development of appropriate techniques. By their own nature, dynamic range reduction algorithms change the luminance values of an image significantly and make most image fidelity metrics inapplicable. Some particular aspects of the methods can be quantified by means of appropriate operators; for instance, we introduce an expression which describes the detail attenuation introduced by a tone mapping curve. In general, a subjective quality assessment is preferably performed by means of appropriate psychophysical experiments. We conducted a set of experiments, targeted specifically at measuring the level of agreement between different users when adjusting the parameter of the modified logarithmic mapping method we propose. The experimental results show a strong correlation between the user-adjusted parameter and the image statistics, and suggest a simple technique for the automatic adjustment of this parameter. On the other hand, the quality assessment in the medical field is preferably performed by means of objective methods. In particular, task-based quality measures evaluate by means of appropriate observer studies the clinical validity of the image used to perform a specific diagnostic task. We conducted a set of observer studies following this approach, targeted specifically at measuring the clinical benefit introduced by a high dynamic range display based on the dual layer LCD technology over a conventional display with a low dynamic range and 8-bit quantization. Observer studies are often time consuming and difficult to organize; in order to increase the number of tests, the human observers can be partially replaced by appropriate software applications, known as model observers or computational observers, which simulate the diagnostic task by means of statistical classification techniques. This thesis is structured as follows. Chapter 1 contains a brief background of concepts related to the physiology of human vision and to the electronic reproduction of images. The description we make is by no means complete and is only intended to introduce some concepts which will be extensively used in the following. Chapter 2 describes the technique of high dynamic range image acquisition by means of multiple exposures. In Chapter 3 we introduce the dynamic range reduction algorithms, providing an overview of the state of the art and proposing some improvements and novel techniques. In Chapter 4 we address the topic of quality assessment in dynamic range reduction algorithms; in particular, we introduce an operator which describes the detail attenuation introduced by tone mapping curves and describe a set of psychophysical experiments we conducted for the adjustment of the parameter in the modified logarithmic mapping method we propose. In Chapter 5 we move to the topic of medical images and describe the techniques used to map the density data of radiographic images to display luminances. We point out some limitations of the current technical recommendation and propose an improvement. In Chapter 6 we describe in detail the dual layer LCD prototype and propose different splitting algorithms for the generation of the two images which drive the two liquid crystal panels. In Chapter 7 we propose one possible technique for the estimation of the equivalent bit depth of a dual layer LCD display, based on a statistical analysis of the quantization noise. Finally, in Chapter 8 we address the topic of objective quality assessment in medical images and describe a set of observer studies we conducted in order to quantify the clinical benefit introduced by a high dynamic range display. No general conclusions are offered; the breadth of the subjects has suggested to draw more focused comments at the end of the individual chapters.
XXI Ciclo
1982

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Oh, Joonmi. "Human visual system informed perceptual quality assessment models for compressed medical images." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368425.

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Hospital and clinical environments are rapidly moving toward the digital capture, processing, storage, and transmission of medical images. X-ray cardio-angiograms are used to observe coronary blood flow, diagnose arterial disease and perform coronary angioplasty or bypass surgery. The digital storage and transmission of these cardiovascular images has significant potential to improve patient care. For example, digital images enable electronic archiving, network transmission and useful manipulation of diagnostic information such as image enhancement. The efficient compression of medical images is tremendously important for economical storage and fast transmission, since digitised medical images must be of high-quality, requiring high-resolution and having a large volume in general. The use of lossily compressed images has created a need for the development of objective quality assessment metrics I measuring perceived subjective opinions by viewers for optimal compression rate/distortion trade-off. Quality assessment metrics, based on models of the human visual system, have more accurately predicted perceived quality than traditional error-based objective quality metrics. This thesis presents a proposed Multi-stage Perceptual Quality Assessment (MPQA) model for compressed images. The motivation for the development of a perceptual quality assessment is to measure (in)visible physical differences between original and processed images. MPQA produces visible distortion maps and quantitative error measured informed by considerations of the human visual system. Original and decompressed images are decomposed into different spatial frequency bands and orientations modelling the human cortex. Contrast errors are calculated for each frequency and orientation, and masked as a function of contrast sensitivity and background uncertainty. Spatially masked contrast error measurements are made across frequency bands and orientations to produce a single Perceptual Distortion Visibility Map (PDVM). A Perceptual Quality Rating (PQR) is calculated from the PDVM and transformed into a one to five scale for direct comparison with the Mean Opinion Score (MOS), generally used in subjective rating. For medical applications, acceptable decompressed medical images might be those which are perceptually pleasing, contain no visible artefacts and have no loss in diagnostic content. To investigate this problem, clinical tests identifying diagnostically acceptable image reconstructions is performed and demonstrates that the proposed perceptual quality rating method has better agreement with observers' responses than objective error measurement methods. The vision models presented in the thesis are also implemented in the thresholding and quantisation stages of a compression algorithm. An HVS-informed perceptual thresholding and quantisation method is also shown to produce improved compression ratio performance with less visible distortions.

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Chintala, Bala Venkata Sai Sundeep. "Objective Perceptual Quality Assessment of JPEG2000 Image Coding Format Over Wireless Channel." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17785.

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A dominant source of Internet traffic, today, is constituted of compressed images. In modern multimedia communications, image compression plays an important role. Some of the image compression standards set by the Joint Photographic Expert Group (JPEG) include JPEG and JPEG2000. The expert group came up with the JPEG image compression standard so that still pictures could be compressed to be sent over an e-mail, be displayed on a webpage, and make high-resolution digital photography possible. This standard was originally based on a mathematical method, used to convert a sequence of data to the frequency domain, called the Discrete Cosine Transform (DCT). In the year 2000, however, a new standard was proposed by the expert group which came to be known as JPEG2000. The difference between the two is that the latter is capable of providing better compression efficiency. There is also a downside to this new format introduced. The computation required for achieving the same sort of compression efficiency as one would get with the original JPEG format is higher. JPEG is a lossy compression standard which can throw away some less important information without causing any noticeable perception differences. Whereas, in lossless compression, the primary purpose is to reduce the number of bits required to represent the original image samples without any loss of information. The areas of application of the JPEG image compression standard include the Internet, digital cameras, printing, and scanning peripherals. In this thesis work, a simulator kind of functionality setup is needed for conducting the objective quality assessment. An image is given as an input to our wireless communication system and its data size is varied (e.g. 5%, 10%, 15%, etc) and a Signal-to-Noise Ratio (SNR) value is given as input, for JPEG2000 compression. Then, this compressed image is passed through a JPEG encoder and then transmitted over a Rayleigh fading channel. The corresponding image obtained after having applied these constraints on the original image is then decoded at the receiver and inverse discrete wavelet transform (IDWT) is applied to inverse the JPEG 2000 compression. Quantization is done for the coefficients which are scalar-quantized to reduce the number of bits to represent them, without the loss of quality of the image. Then the final image is displayed on the screen. The original input image is co-passed with the images of varying data size for an SNR value at the receiver after decoding. In particular, objective perceptual quality assessment through Structural Similarity (SSIM) index using MATLAB is provided.

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Книги з теми "Perceptual Quality Assessment"

Zhu, Shu-Yu. Perceptual wavelet coding and quality assessment for still image. Ottawa: National Library of Canada, 2000.

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Oh, Joonmi. Human visual system informed perceptual quality assessment models for compressed medical images. Birmingham: University of Birmingham, 2000.

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Zhai, Guangtao, Vinit Jakhetiya, Ke Gu, Lu Zhang, and Xiongkuo Min, eds. Computational Neuroscience for Perceptual Quality Assessment. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-950-8.

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Savvides, Vassos E. Perceptual models in speech quality assessment and coding. 1988.

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Hinterleitner, Florian. Quality of Synthetic Speech: Perceptual Dimensions, Influencing Factors, and Instrumental Assessment. Springer, 2017.

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Hinterleitner, Florian. Quality of Synthetic Speech: Perceptual Dimensions, Influencing Factors, and Instrumental Assessment. Springer, 2017.

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Hinterleitner, Florian. Quality of Synthetic Speech: Perceptual Dimensions, Influencing Factors, and Instrumental Assessment. Springer, 2018.

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Leon, Susan A., Amy D. Rodriguez, and John C. Rosenbek. Right Hemisphere Damage and Prosody. Edited by Anastasia M. Raymer and Leslie J. Gonzalez Rothi. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199772391.013.15.

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Communication requires interdependent functioning of large portions of the brain, and damage to any of these systems can disrupt effective and appropriate communication. Damage to the right hemisphere or basal ganglia can result in difficulty using or understanding prosodic contours in speech. Prosody includes pitch, loudness, rate, and voice quality, and is used to convey emotional connotation or linguistic intent. A disorder in the comprehension or production of prosody is known as aprosodia; affective aprosodia is a specific deficit affecting emotional or affective prosodic contours. The right hemisphere has been shown to play a critical role in processing emotional prosody and aprosodia syndromes resulting from damage to right hemisphere areas have been proposed. These include an expressive aprosodia resulting from anterior damage and a receptive aprosodia resulting from more posterior damage. Assessment and diagnosis of aprosodia in clinical settings are often perceptually based; however, acoustic analyses of means and ranges of frequency, intensity, and rate provide an instrumented analysis of prosody production. The treatment of aprosodia following stroke has received scant attention in comparison to other disorders of communication, although a few studies investigating cognitive–linguistic and imitative treatments have reported some positive results.

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Частини книг з теми "Perceptual Quality Assessment"

Guan, Mengda, Yuanyuan Lyu, Wanyue Cao, Xingwang Wu, Jingjing Lu, and S. Kevin Zhou. "Perceptual Quality Assessment of Chest Radiograph." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 315–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87234-2_30.

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Chen, Zidong, and Xiongkuo Min. "Perceptual Quality Assessment of TTS-Synthesized Speech." In Communications in Computer and Information Science, 423–35. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0856-1_31.

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Ekmekcioglu, Erhan, Stewart Worrall, Demuni De Silva, Anil Fernando, and Ahmet M. Kondoz. "Depth Based Perceptual Quality Assessment for Synthesised Camera Viewpoints." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 76–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35145-7_10.

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Li, CongLi, Chao Xu, ChaoYi Chen, ChengJun Xu, and Zhe Wei. "Blind Perceptual Quality Assessment for Single Image Motion Deblurring." In Biometric Recognition, 531–40. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20233-9_54.

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Li, Leida, Bo Hu, Yipo Huang, and Hancheng Zhu. "Reduced-reference Perceptual Discrepancy Learning for Image Restoration Quality Assessment." In Artificial Intelligence, 359–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93046-2_31.

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Jinjin, Gu, Cai Haoming, Chen Haoyu, Ye Xiaoxing, Jimmy S. Ren, and Dong Chao. "PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration." In Computer Vision – ECCV 2020, 633–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58621-8_37.

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Yu, Yanwei, Zhengding Lu, Hefei Ling, and Fuhao Zou. "No-Reference Perceptual Quality Assessment of JPEG Images Using General Regression Neural Network." In Advances in Neural Networks - ISNN 2006, 638–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760023_94.

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Liu, Hantao, and Zhou Wang. "Perceptual Quality Assessment of Medical Images." In Encyclopedia of Biomedical Engineering, 588–96. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-801238-3.64099-0.

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Wang, Zhou, Alan C. Bovik, and Hamid R. Sheikh. "Structural Similarity Based Image Quality Assessment." In Digital Video Image Quality and Perceptual Coding, 225–42. CRC Press, 2017. http://dx.doi.org/10.1201/9781420027822-7.

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Venkata Rao, D., and L. Pratap Reddy. "Image Quality Assessment Based on Weighted Perceptual Features." In Machine Interpretation of Patterns, 29–55. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814299190_0002.

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Тези доповідей конференцій з теми "Perceptual Quality Assessment"

Avanaki, Ali R. N., Kathryn Espig, Albert Xthona, Daren Brooks, John Young, and Tom Kimpe. "Perceptual image quality in digital dermoscopy." In Image Perception, Observer Performance, and Technology Assessment, edited by Frank W. Samuelson and Sian Taylor-Phillips. SPIE, 2020. http://dx.doi.org/10.1117/12.2549880.

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Fang, Yuming, Hanwei Zhu, Yan Zeng, Kede Ma, and Zhou Wang. "Perceptual Quality Assessment of Smartphone Photography." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00373.

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Cheon, Manri, Sung-Jun Yoon, Byungyeon Kang, and Junwoo Lee. "Perceptual Image Quality Assessment with Transformers." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2021. http://dx.doi.org/10.1109/cvprw53098.2021.00054.

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Xu, Jiahua, Jing Li, Xingguang Zhou, Wei Zhou, Baichao Wang, and Zhibo Chen. "Perceptual Quality Assessment of Internet Videos." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3475486.

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Duan, Huiyu, Guangtao Zhai, Xiongkuo Min, Yucheng Zhu, Yi Fang, and Xiaokang Yang. "Perceptual Quality Assessment of Omnidirectional Images." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351786.

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Khatami, Alireza, and Ahmadh Mahmoudi-Aznaveh. "Deep perceptual similarity and Quality Assessment." In 2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA). IEEE, 2023. http://dx.doi.org/10.1109/ipria59240.2023.10147170.

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Joveluro, P., H. Malekmohamadi, W. A. C. Fernando, and A. M. Kondoz. "Perceptual Video Quality Metric for 3D video quality assessment." In 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2010). IEEE, 2010. http://dx.doi.org/10.1109/3dtv.2010.5506331.

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Seshadrinathan, Kalpana, and Alan C. Bovik. "Motion-based perceptual quality assessment of video." In IS&T/SPIE Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2009. http://dx.doi.org/10.1117/12.811817.

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Mier, Juan Carlos, Eddie Huang, Hossein Talebi, Feng Yang, and Peyman Milanfar. "Deep Perceptual Image Quality Assessment for Compression." In 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021. http://dx.doi.org/10.1109/icip42928.2021.9506217.

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Farid, Muhammad Shahid, Maurizio Lucenteforte, and Marco Grangetto. "Perceptual quality assessment of 3D synthesized images." In 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2017. http://dx.doi.org/10.1109/icme.2017.8019307.

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