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Artykuły w czasopismach na temat „Perceptual quality”

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Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 19 lutego 2022

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1

Elloumi, Nessrine, Habiba Loukil Hadj Kacem, Nilanjan Dey, Amira S. Ashour i Med Salim Bouhlel. "Perceptual Metrics Quality". International Journal of Service Science, Management, Engineering, and Technology 8, nr 1 (styczeń 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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2

Kreiman, Jody, Bruce R. Gerratt i Kristin Precoda. "Listener Experience and Perception of Voice Quality". Journal of Speech, Language, and Hearing Research 33, nr 1 (marzec 1990): 103–15. http://dx.doi.org/10.1044/jshr.3301.103.

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Five speech-language clinicians and 5 naive listeners rated the similarity of pairs of normal and dysphonic voices. Multidimensional scaling was used to determine the voice characteristics that were perceptually important for each voice set and listener group. Solution spaces were compared to determine if clinical experience affects perceptual strategies. Naive and expert listeners attended to different aspects of voice quality when judging the similarity of voices, for both normal and pathological voices. All naive listeners used similar perceptual strategies; however, individual clinicians differed substantially in the parameters they considered important when judging similarity. These differences were large enough to suggest that care must be taken when using data averaged across clinicians, because averaging obscures important aspects of an individual’s perceptual behavior.

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3

Anderson, Britt, i Michael Druker. "Attention improves perceptual quality". Psychonomic Bulletin & Review 20, nr 1 (2.10.2012): 120–27. http://dx.doi.org/10.3758/s13423-012-0323-x.

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4

WONG, ALEXANDER. "PECSI: A PRACTICAL PERCEPTUALLY-ENHANCED COMPRESSION FRAMEWORK FOR STILL IMAGES". International Journal of Image and Graphics 09, nr 04 (październik 2009): 511–29. http://dx.doi.org/10.1142/s0219467809003551.

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This paper presents PECSI, a perceptually-enhanced image compression framework designed to provide high compression rates for still images while preserving visual quality. PECSI utilizes important human perceptual characteristics during image encoding stages (e.g. downsampling and quantization) and image decoding stages (e.g. upsampling and deblocking) to find a better balance between image compression and the perceptual quality of an image. The proposed framework is computationally efficient and easy to integrate into existing block-based still image compression standards. Experimental results show that the PECSI framework provides improved perceptual quality at the same compression rate as existing still image compression methods. Alternatively, the framework can be used to achieve higher compression ratios while maintaining the same level of perceptual quality.

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SREELEKHA, G., i P. S. SATHIDEVI. "A WAVELET-BASED PERCEPTUAL IMAGE CODER INCORPORATING A NEW MODEL FOR COMPRESSION OF COLOR IMAGES". International Journal of Wavelets, Multiresolution and Information Processing 07, nr 05 (wrzesień 2009): 675–92. http://dx.doi.org/10.1142/s0219691309003197.

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A wavelet-based perceptual image coder for the compression of color images is proposed here in which the coding structure is coupled with Human Visual System models to produce high quality images. The major contribution is the development of a new model for the compression of the color components based on psychovisual experiments, which quantifies the optimum amount of compression that can be applied to the color components for a given rate. The model is developed for YCbCr color space and the perceptually uniform CIE Lab color space. A complete coding structure for the compression of color images is developed by incorporating the new perceptual model. The performance of the proposed coder is compared with a wavelet-based coder that uses the quantization stage of the JPEG2000 standard. The perceptual quality of the compressed images is tested using the wavelet-based subjective and objective perceptual quality matrices such as Mean Opinion Score, Visual Information Fidelity and Visual Signal to Noise Ratio. Though the model is developed for a perceptually lossless high quality image compression, results obtained reveal that the proposed structure gives very good perceptual quality compared to the existing schemes for lower bit rates. These advantages make the proposed coder a candidate for replacing the encoder stage of the current image compression standards.

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6

Lee, Ki-Seung. "Voice Conversion Using a Perceptual Criterion". Applied Sciences 10, nr 8 (22.04.2020): 2884. http://dx.doi.org/10.3390/app10082884.

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In voice conversion (VC), it is highly desirable to obtain transformed speech signals that are perceptually close to a target speaker’s voice. To this end, a perceptually meaningful criterion where the human auditory system was taken into consideration in measuring the distances between the converted and the target voices was adopted in the proposed VC scheme. The conversion rules for the features associated with the spectral envelope and the pitch modification factor were jointly constructed so that perceptual distance measurement was minimized. This minimization problem was solved using a deep neural network (DNN) framework where input features and target features were derived from source speech signals and time-aligned version of target speech signals, respectively. The validation tests were carried out for the CMU ARCTIC database to evaluate the effectiveness of the proposed method, especially in terms of perceptual quality. The experimental results showed that the proposed method yielded perceptually preferred results compared with independent conversion using conventional mean-square error (MSE) criterion. The maximum improvement in perceptual evaluation of speech quality (PESQ) was 0.312, compared with the conventional VC method.

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7

Tveterås, Gry. "Perceptual analysis of voice quality". Scandinavian Journal of Logopedics and Phoniatrics 17, nr 3-4 (styczeń 1992): 145–49. http://dx.doi.org/10.3109/14015439209098732.

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8

Dinesh, Thevaranjan, i Kugathasan Pushpakaran. "Perceptual Differences in Service Quality". IOSR Journal of Business and Management 18, nr 09 (wrzesień 2016): 73–80. http://dx.doi.org/10.9790/487x-1809017380.

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9

Kreiman, Jody, Bruce R. Gerratt, Gail B. Kempster, Andrew Erman i Gerald S. Berke. "Perceptual Evaluation of Voice Quality". Journal of Speech, Language, and Hearing Research 36, nr 1 (luty 1993): 21–40. http://dx.doi.org/10.1044/jshr.3601.21.

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The reliability of listeners’ ratings of voice quality is a central issue in voice research because of the clinical primacy of such ratings and because they are the standard against which other measures are evaluated. However, an extensive literature review indicates that both intrarater and interrater reliability fluctuate greatly from study to study. Further, our own data indicate that ratings of vocal roughness vary widely across individual clinicians, with a single voice often receiving nearly the full range of possible ratings. No model or theoretical framework currently exists to explain these variations, although such a model might guide development of efficient, valid, and standardized clinical protocols for voice evaluation. We propose a theoretical framework that attributes variability in ratings to several sources (including listeners’ backgrounds and biases, the task used to gather ratings, interactions between listeners and tasks, and random error). This framework may guide development of new clinical voice and speech evaluation protocols, ultimately leading to more reliable perceptual ratings and a better understanding of the perceptual qualities of pathological voices.

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10

Hurlbert, A. "The perceptual quality of colour". Journal of Vision 13, nr 9 (25.07.2013): 1396. http://dx.doi.org/10.1167/13.9.1396.

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11

Miner, Nadine E., Timothy E. Goldsmith i Thomas P. Caudell. "Perceptual Validation Experiments for Evaluating the Quality of Wavelet-Synthesized Sounds". Presence: Teleoperators and Virtual Environments 11, nr 5 (październik 2002): 508–24. http://dx.doi.org/10.1162/105474602320935847.

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This paper describes three psychoacoustic experiments that evaluated the perceptual quality of sounds generated from a new wavelet-based synthesis technique. The synthesis technique provides a method for modeling and synthesizing perceptually compelling sound. The experiments define a methodology for evaluating the effectiveness of any synthesized sound. An identification task and a context-based rating task evaluated the perceptual quality of individual sounds. These experiments confirmed that the wavelet technique synthesizes a wide variety of compelling sounds from a small model set. The third experiment obtained sound similarity ratings. Psychological scaling methods were applied to the similarity ratings to generate both spatial and network models of the perceptual relations among the synthesized sounds. These analysis techniques helped to refine and extend the sound models. Overall, the studies provided a framework to validate synthesized sounds for a variety of applications including virtual reality and data sonification systems.

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12

Osadebey, Michael, Marius Pedersen, Douglas Arnold i Katrina Wendel-Mitoraj. "Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images". Journal of Imaging 5, nr 1 (15.01.2019): 20. http://dx.doi.org/10.3390/jimaging5010020.

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Noise-based quality evaluation of MRI images is highly desired in noise-dominant environments. Current noise-based MRI quality evaluation methods have drawbacks which limit their effective performance. Traditional full-reference methods such as SNR and most of the model-based techniques cannot provide perceptual quality metrics required for accurate diagnosis, treatment and monitoring of diseases. Although techniques based on the Moran coefficients are perceptual quality metrics, they are full-reference methods and will be ineffective in applications where the reference image is not available. Furthermore, the predicted quality scores are difficult to interpret because their quality indices are not standardized. In this paper, we propose a new no-reference perceptual quality evaluation method for grayscale images such as MRI images. Our approach is formulated to mimic how humans perceive an image. It transforms noise level into a standardized perceptual quality score. Global Moran statistics is combined with local indicators of spatial autocorrelation in the form of local Moran statistics. Quality score is predicted from perceptually weighted combination of clustered and random pixels. Performance evaluation, comparative performance evaluation and validation by human observers, shows that the proposed method will be a useful tool in the evaluation of retrospectively acquired MRI images and the evaluation of noise reduction algorithms.

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13

Wolfe, Virginia I., David P. Martin i Chester I. Palmer. "Perception of Dysphonic Voice Quality by Naive Listeners". Journal of Speech, Language, and Hearing Research 43, nr 3 (czerwiec 2000): 697–705. http://dx.doi.org/10.1044/jslhr.4303.697.

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For clinical assessment as well as student training, there is a need for information pertaining to the perceptual dimensions of dysphonic voice. To this end, 24 naive listeners judged the similarity of 10 female and 10 male vowel samples, selected from within a narrow range of fundamental frequencies. Most of the perceptual variance for both sets of voices was associated with "degree of abnormality" as reflected by perceptual ratings as well as combined acoustic measures, based upon filtered and unfiltered signals. A second perceptual dimension for female voices was associated with high frequency noise as reflected by two acoustic measures: breathiness index (BRI) and a high-frequency power ratio. A second perceptual dimension for male voices was associated with a breathy-overtight continuum as reflected by period deviation (PDdev) and perceptual ratings of breathiness. Results are discussed in terms of perceptual training and the clinical assessment of pathological voices.

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14

Lin, Weisi, i C. C. Jay Kuo. "Perceptual visual quality metrics: A survey". Journal of Visual Communication and Image Representation 22, nr 4 (maj 2011): 297–312. http://dx.doi.org/10.1016/j.jvcir.2011.01.005.

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15

Hu, Bo, Leida Li i Jiansheng Qian. "Perceptual quality evaluation for motion deblurring". IET Computer Vision 12, nr 6 (27.04.2018): 796–805. http://dx.doi.org/10.1049/iet-cvi.2017.0478.

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Hekstra, A. P., J. G. Beerends, D. Ledermann, F. E. de Caluwe, S. Kohler, R. H. Koenen, S. Rihs, M. Ehrsam i D. Schlauss. "PVQM – A perceptual video quality measure". Signal Processing: Image Communication 17, nr 10 (listopad 2002): 781–98. http://dx.doi.org/10.1016/s0923-5965(02)00056-5.

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17

Hamberg, Roelof, i Huib de Ridder. "Continuous assessment of perceptual image quality". Journal of the Optical Society of America A 12, nr 12 (1.12.1995): 2573. http://dx.doi.org/10.1364/josaa.12.002573.

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Ong, Ee Ping, Xiaokang Yang, Weisi Lin, Zhongkang Lu, Susu Yao, Xiao Lin, Susanto Rahardja i Boon Choong Seng. "Perceptual quality and objective quality measurements of compressed videos". Journal of Visual Communication and Image Representation 17, nr 4 (sierpień 2006): 717–37. http://dx.doi.org/10.1016/j.jvcir.2005.11.002.

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Zoghlami, Novlene, i Zied Lachiri. "Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement". Journal of Electrical and Computer Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/282019.

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This paper describes a new speech enhancement approach using perceptually based noise reduction. The proposed approach is based on the application of two perceptual filtering models to noisy speech signals: the gammatone and the gammachirp filter banks with nonlinear resolution according to the equivalent rectangular bandwidth (ERB) scale. The perceptual filtering gives a number of subbands that are individually spectral weighted and modified according to two different noise suppression rules. The importance of an accurate noise estimate is related to the reduction of the musical noise artifacts in the processed speech that appears after classic subtractive process. In this context, we use continuous noise estimation algorithms. The performance of the proposed approach is evaluated on speech signals corrupted by real-world noises. Using objective tests based on the perceptual quality PESQ score and the quality rating of signal distortion (SIG), noise distortion (BAK) and overall quality (OVRL), and subjective test based on the quality rating of automatic speech recognition (ASR), we demonstrate that our speech enhancement approach using filter banks modeling the human auditory system outperforms the conventional spectral modification algorithms to improve quality and intelligibility of the enhanced speech signal.

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20

Pessoa, Aline Neves, Beatriz Cavalcanti de Albuquerque Caiuby Novaes, Lilian Kuhn Pereira i Zuleica Antonia Camargo. "Voice quality and voice dynamics data". Journal of Speech Sciences 1, nr 2 (3.02.2021): 17–33. http://dx.doi.org/10.20396/joss.v1i2.15024.

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Acoustic and perceptual auditory analysis procedures present themselves as clinical tools which give support to the understanding of the speech features of hearing impaired children (HIC). Voice quality stems from the overlapped action of the larynx, the supralaryngeal vocal tract and the level of muscular tension throughout the speech flow. Nonetheless, voice dynamics is characterized by frequency, duration and intensity variations. This research aimed at investigating acoustic and perceptive correlates of a HIC child’s voice and dynamic quality. The child, who has a cochlear implanted, had his speech samples collected during speech therapy sessions. The male subject (R), who uses a unilateral cochlear implant (UCI), had his speech production samples recorded when he was 5 (05 samples) and 6 years old (05 samples), and which were later tagged Cut A and Cut B respectively. The recorded corpus was acoustically analyzed through the use of the SGEXpressionEvaluator script (Barbosa, 2009) running on the free software Praat v10. The measures which were automatically extracted by the script correspond to the fundamental frequency –f0, first f0 derivative, intensity, spectral fall and long term spectrum. The perceptual auditory analysis of the voice quality was based on the VPAS-PB script (Camargo e Madureira, 2008). The perceptual auditory judgments and the acoustic measures were subjected to statistical analysis procedures. At first the, the data (perceptual and acoustic) were separately analyzed through a hierarchical and agglomerative cluster analysis. Subsequently, they were examined together through the principal component analysis. Results revealed the existence of correspondence between the acoustic and perceptual auditory data. In the audio recorded data samples from Cut B (one year after the first one) greater variability tendencies in acoustic measures of f0 could be observed associated with laryngeal hyper function at the perceptual level plus silent pauses and the reduction of speech rate. From the integrated acoustic and perceptual analysis it was possible to keep a record of the child’s oral language development process. The data analysis in this study allowed the observation of several interaction levels between the vocal tract (lip movement extension adjusts, tongue and jaw, associated with velopharyngeal adjusts and muscular tension from the larynx), plus the inspection of speech dynamics elements (habitual pitch and speech rate) of a child’s speech who has a UCI implanted during a one-year-speech-therapy-process period. This source of information made the characterization of the child’s evolution possible, especially in terms of perceptual auditory analysis descriptions being phonetically motivated by the speech dynamics quality.

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21

Norrenbrock, Christoph R., Florian Hinterleitner, Ulrich Heute i Sebastian Möller. "Quality prediction of synthesized speech based on perceptual quality dimensions". Speech Communication 66 (luty 2015): 17–35. http://dx.doi.org/10.1016/j.specom.2014.06.003.

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Haderlein, Tino, Cornelia Schwemmle, Michael Döllinger, Václav Matoušek, Martin Ptok i Elmar Nöth. "Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis". Computational and Mathematical Methods in Medicine 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/316325.

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Due to low intra- and interrater reliability, perceptual voice evaluation should be supported by objective, automatic methods. In this study, text-based, computer-aided prosodic analysis and measurements of connected speech were combined in order to model perceptual evaluation of the German Roughness-Breathiness-Hoarseness (RBH) scheme. 58 connected speech samples (43 women and 15 men;48.7±17.8years) containing the German version of the text “The North Wind and the Sun” were evaluated perceptually by 19 speech and voice therapy students according to the RBH scale. For the human-machine correlation, Support Vector Regression with measurements of the vocal fold cycle irregularities (CFx) and the closed phases of vocal fold vibration (CQx) of the Laryngograph and 33 features from a prosodic analysis module were used to model the listeners’ ratings. The best human-machine results for roughness were obtained from a combination of six prosodic features and CFx (r=0.71,ρ=0.57). These correlations were approximately the same as the interrater agreement among human raters (r=0.65,ρ=0.61). CQx was one of the substantial features of the hoarseness model. For hoarseness and breathiness, the human-machine agreement was substantially lower. Nevertheless, the automatic analysis method can serve as the basis for a meaningful objective support for perceptual analysis.

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23

Bassich, Celia J., i Christy L. Ludlow. "The Use of Perceptual Methods by New Clinicians for Assessing Voice Quality". Journal of Speech and Hearing Disorders 51, nr 2 (maj 1986): 125–33. http://dx.doi.org/10.1044/jshd.5102.125.

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The purpose of this study was to determine the validity and reliability of using perceptual ratings for assessing voice quality in patients with vocal fold nodules or polyps. A 13-dimension perceptual rating system was modeled after systems currently in clinical use. To meet the criterion of 80% mean interjudge reliability, eight hours of training were required for four previously inexperienced listeners. Extended vowel phonations of patients and controls were then rated blindly by the same listeners. Interjudge reliability was greater than .90 for three dimensions judged in the pathological phonations, while intrajudge test-retest agreement was less than 75% on five dimensions. Validity was demonstrated with 100% correct assignment to group by computing a discriminant function employing all dimensions. Despite the extensive training procedures used, our reliability data were not comparable to those reported when highly experienced judges have been used, suggesting that the task of perceptually rating voice quality is difficult and requires extensive professional experience.

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Boadi, Antonia. "Assessing Perceptual Video Quality in Wimax Networks". International Journal of UbiComp 7, nr 4 (30.10.2016): 01–09. http://dx.doi.org/10.5121/iju.2016.7401.

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

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Zhang, Xuemei. "Perceptual image quality: Effects of tone characteristics". Journal of Electronic Imaging 14, nr 2 (1.04.2005): 023003. http://dx.doi.org/10.1117/1.1900134.

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Wang, Jiheng, Shiqi Wang, Kede Ma i Zhou Wang. "Perceptual Depth Quality in Distorted Stereoscopic Images". IEEE Transactions on Image Processing 26, nr 3 (marzec 2017): 1202–15. http://dx.doi.org/10.1109/tip.2016.2642791.

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Yang, Huan, Yuming Fang i Weisi Lin. "Perceptual Quality Assessment of Screen Content Images". IEEE Transactions on Image Processing 24, nr 11 (listopad 2015): 4408–21. http://dx.doi.org/10.1109/tip.2015.2465145.

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Bele, Irene Velsvik. "Reliability in Perceptual Analysis of Voice Quality". Journal of Voice 19, nr 4 (grudzień 2005): 555–73. http://dx.doi.org/10.1016/j.jvoice.2004.08.008.

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Brandenburg, Karlheinz, Christof Faller, Juergen Herre, James D. Johnston i W. Bastiaan Kleijn. "Perceptual Coding of High-Quality Digital Audio". Proceedings of the IEEE 101, nr 9 (wrzesień 2013): 1905–19. http://dx.doi.org/10.1109/jproc.2013.2263371.

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Brandenburg, Karlheinz. "Perceptual coding of height‐quality audio signals". Journal of the Acoustical Society of America 95, nr 5 (maj 1994): 2806. http://dx.doi.org/10.1121/1.409724.

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Chen, Chien-nan, Cing-yu Chu, Su-ling Yeh, Hao-hua Chu i Polly Huang. "Measuring the perceptual quality of Skype sources". ACM SIGCOMM Computer Communication Review 42, nr 4 (24.09.2012): 521–26. http://dx.doi.org/10.1145/2377677.2377779.

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Agudelo-Medina, Oscar A., Hernan Dario Benitez-Restrepo, Gemine Vivone i Alan Bovik. "Perceptual Quality Assessment of Pan-Sharpened Images". Remote Sensing 11, nr 7 (11.04.2019): 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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Kai-Chieh Yang, C. C. Guest, K. El-Maleh i P. K. Das. "Perceptual Temporal Quality Metric for Compressed Video". IEEE Transactions on Multimedia 9, nr 7 (listopad 2007): 1528–35. http://dx.doi.org/10.1109/tmm.2007.906576.

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Petersen, K. T., S. D. Hansen i J. A. Sorensen. "Modeling and evaluation of multimodal perceptual quality". IEEE Signal Processing Magazine 14, nr 4 (lipiec 1997): 38–39. http://dx.doi.org/10.1109/79.598591.

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Kreiman, Jody, i Bruce R. Gerratt. "The perceptual structure of pathologic voice quality". Journal of the Acoustical Society of America 100, nr 3 (wrzesień 1996): 1787–95. http://dx.doi.org/10.1121/1.416074.

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Sinno, Zeina, i Alan Conrad Bovik. "Large-Scale Study of Perceptual Video Quality". IEEE Transactions on Image Processing 28, nr 2 (luty 2019): 612–27. http://dx.doi.org/10.1109/tip.2018.2869673.

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Chen, Li-Heng, Christos G. Bampis, Zhi Li, Joel Sole i Alan C. Bovik. "Perceptual Video Quality Prediction Emphasizing Chroma Distortions". IEEE Transactions on Image Processing 30 (2021): 1408–22. http://dx.doi.org/10.1109/tip.2020.3043127.

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Suthaharan, S. "Perceptual quality metric for digital video coding". Electronics Letters 39, nr 5 (2003): 431. http://dx.doi.org/10.1049/el:20030308.

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Hu, Anzhou, Rong Zhang, Dong Yin, Yuan Chen i Xin Zhan. "Perceptual quality assessment of SAR image compression". International Journal of Remote Sensing 34, nr 24 (24.10.2013): 8764–88. http://dx.doi.org/10.1080/01431161.2013.846488.

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Jinjian Wu, Weisi Lin, Guangming Shi i Anmin Liu. "Perceptual Quality Metric With Internal Generative Mechanism". IEEE Transactions on Image Processing 22, nr 1 (styczeń 2013): 43–54. http://dx.doi.org/10.1109/tip.2012.2214048.

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Oates, Jennifer. "Auditory-Perceptual Evaluation of Disordered Voice Quality". Folia Phoniatrica et Logopaedica 61, nr 1 (2009): 49–56. http://dx.doi.org/10.1159/000200768.

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Hands, D., A. Bourret i D. Bayart. "Video QoS enhancement using perceptual quality metrics". BT Technology Journal 23, nr 2 (kwiecień 2005): 208–16. http://dx.doi.org/10.1007/s10550-005-0017-2.

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Shahriari, Y., Q. Ding, R. Fidler, M. Pelter, Y. Bai, A. Villaroman i X. Hu. "Perceptual Image Processing Based Ecg Quality Assessment". Journal of Electrocardiology 49, nr 6 (listopad 2016): 937. http://dx.doi.org/10.1016/j.jelectrocard.2016.09.040.

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Li, Leida, Ya Yan, Yuming Fang, Shiqi Wang, Lu Tang i Jiansheng Qian. "Perceptual quality evaluation for image defocus deblurring". Signal Processing: Image Communication 48 (październik 2016): 81–91. http://dx.doi.org/10.1016/j.image.2016.09.005.

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Mahajan, Palak, Vinit Jakhetiya, Pawanesh Abrol, Parveen K. Lehana, Badri N. Subudhi i Sharath C. Guntuku. "Perceptual Quality Evaluation of Hazy Natural Images". IEEE Transactions on Industrial Informatics 17, nr 12 (grudzień 2021): 8046–56. http://dx.doi.org/10.1109/tii.2021.3065439.

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As, Corina J. van, Florien J. Koopmans-van Beinum, Louis C. W. Pols i Frans J. M. Hilgers. "Perceptual Evaluation of Tracheoesophageal Speech by Naive and Experienced Judges Through the Use of Semantic Differential Scales". Journal of Speech, Language, and Hearing Research 46, nr 4 (sierpień 2003): 947–59. http://dx.doi.org/10.1044/1092-4388(2003/074).

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The present study was conducted to investigate voice quality in tracheoesophageal speech by means of perceptual evaluations and to develop a clinically useful subset of perceptual scales sufficient for these perceptual evaluations. The perceptual ratings were obtained from both naive and trained raters (speechlanguage pathologists [SLPs]) after listening to a read-aloud text. The perceptual evaluations were performed by means of 19 semantic bipolar 7-point scales for the naive raters and 20 semantic bipolar 7-point scales for the trained raters. The trained raters were also asked to judge the overall voice quality as good, reasonable, or poor. Both naive listeners and trained SLPs were able to perform reliable perceptual judgments. Naive raters judged the tracheoesophageal voice as more deviant than the trained raters did. Naive raters made judgments based on 2 underlying perceptual dimensions (voice quality and pitch), whereas the trained raters made judgments based on 4 underlying perceptual dimensions (voice quality, tonicity, pitch, and tempo). These perceptual dimensions were further subdivided into a subset of 4 perceptual scales for the naive raters and a subset of 8 perceptual scales for the trained raters. This appeared to provide a sufficient coverage of the underlying perceptual dimensions used by the listeners.

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Moorthy, A. K., i A. C. Bovik. "Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality". IEEE Transactions on Image Processing 20, nr 12 (grudzień 2011): 3350–64. http://dx.doi.org/10.1109/tip.2011.2147325.

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Yin, Carol. "A task-oriented taxonomy of visual completion". Behavioral and Brain Sciences 21, nr 6 (grudzień 1998): 780–81. http://dx.doi.org/10.1017/s0140525x98581757.

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Differences and similarities between modal and amodal completions can only be understood by considering the goals of visual completion: unity, shape, and perceptual quality. Pessoa et al. cannot reject representational accounts of vision because of flaws with isomorphic representations of perceptual quality: representations and processes for perceptual quality (modal completion) and most likely dissociable from those for unity and shape (nonmodal completions).

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HE, LIHUO, WEN LU, XINBO GAO, DACHENG TAO i XUELONG LI. "A NOVEL METRIC BASED ON MCA FOR IMAGE QUALITY". International Journal of Wavelets, Multiresolution and Information Processing 09, nr 05 (wrzesień 2011): 743–57. http://dx.doi.org/10.1142/s0219691311004298.

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Considering that the Human Visual System (HVS) has different perceptual characteristics for different morphological components, a novel image quality metric is proposed by incorporating Morphological Component Analysis (MCA) and HVS, which is capable of assessing the image with different kinds of distortion. Firstly, reference and distorted images are decomposed into linearly combined texture and cartoon components by MCA respectively. Then these components are turned into perceptual features by Just Noticeable Difference (JND) which integrates masking features, luminance adaptation and Contrast Sensitive Function (CSF). Finally, the discrimination between reference and distorted images perceptual features is quantified using a pooling strategy before the final image quality is obtained. Experimental results demonstrate that the performance of the proposed prevails over some existing methods on LIVE database II.

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