Дисертації з теми "Assessment of image"
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Verhaaren, Catharine C. "Improving Course Assessments Through a Product Assessment Template." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2338.pdf.
Повний текст джерелаŠmida, Vladimír. "Fingerprint Image Quality Assessment." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237090.
Повний текст джерелаCheng, Wu. "Corrupted Image Quality Assessment." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335969249.
Повний текст джерелаCui, Lei. "Topics in image recovery and image quality assessment /Cui Lei." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/368.
Повний текст джерелаZhang, Wei. "Visual saliency in image quality assessment." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/100239/.
Повний текст джерелаIvkovic, Goran. "An Algorithm for Image Quality Assessment." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000049.
Повний текст джерелаCORCHS, SILVIA ELENA. "Image quality assessment for Digital documents." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50461.
Повний текст джерелаRousselot, Maxime. "Image quality assessment of High Dynamic Range and Wide Color Gamut images." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S034/document.
Повний текст джерелаTo improve their ability to display astonishing images, screen technologies have been greatly evolving. For example, the contrast of high dynamic range rendering systems far exceed the capacity of a conventional display. Moreover, a Wide Color gamut display can cover a bigger color space than ever. Assessing the quality of these new content has become an active field of research as classical SDR quality metrics are not adapted. However, state-of-the-art studies often neglect one important image characteristics: chrominances. Indeed, previous databases contain HDR images with a standard gamut thus neglecting the increase of color space due to WCG. Due to their gamut, these databases are less prone to contain chromatic artifacts than WCG content. Moreover, most existing HDR objective quality metrics only consider luminance and are not considering chromatic artifacts. To overcome this problematic, in this thesis, we have created two HDR / WCG databases with annotated subjective scores. We focus on the creation of a realistic chromatic artifacts that can arise during compression. In addition, using these databases, we explore three solutions to create HDR / WCG metrics. First, we propose a method to adapt SDR metrics to HDR / WCG content. Then, we proposed an extension of a well-known HDR metric called HDR-VDP-2. Finally, we create a new metric based on the merger of various quality metric and color features. This last metric presents very good performance to predict quality while being sensitive to chromatic distortion
Bjurström, Håkan, and Jon Svensson. "Assessment of Grapevine Vigour Using Image Processing." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1342.
Повний текст джерелаThis Master’s thesis studies the possibility of using image processing as a tool to facilitate vine management, in particular shoot counting and assessment of the grapevine canopy. Both are areas where manual inspection is done today. The thesis presents methods of capturing images and segmenting different parts of a vine. It also presents and evaluates different approaches on how shoot counting can be done. Within canopy assessment, the emphasis is on methods to estimate canopy density. Other possible assessment areas are also discussed, such as canopy colour and measurement of canopy gaps and fruit exposure. An example of a vine assessment system is given.
Sendashonga, Mireille. "Image quality assessment using frequency domain transforms." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99537.
Повний текст джерелаTraditionally, the most widely used quantitative measures are the mean squared error and measures that model the human visual system. The proposed method uses the Discrete Cosine Transform and the Discrete Wavelet Transform to divide images into four frequency bands and relates the visual quality of the distorted images to the weighted average of the mean squared error between original and distorted images within each band.
The performance of the metrics presented in this thesis is tested and validated on a large database of subjective quality ratings. Simulations show that the proposed metrics accurately predict visual quality and outperform current state-of-the-art methods with simple and easily implemented processing steps.
Extensions of the proposed image quality metrics are investigated. More particularly, this thesis explores image quality assessment when the reference image is only partially available (reduced reference settings), and presents a method for successfully quantifying the quality of distorted images in such settings.
Belem, Brahima. "Non-invasive wound assessment by image analysis." Thesis, University of South Wales, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409107.
Повний текст джерелаBailey, Samuel Gerard. "An image processing design and assessment methodology." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249366.
Повний текст джерелаTian, Shishun. "Image Quality Assessment of 3D Synthesized Views." Thesis, Rennes, INSA, 2019. http://www.theses.fr/2019ISAR0002/document.
Повний текст джерелаDepth-Image-Based Rendering (DIBR) is a fundamental technology in several 3D-related applications, such as Free viewpoint video (FVV), Virtual Reality (VR) and Augmented Reality (AR). However, new challenges have also been brought in assessing the quality of DIBR-synthesized views since this process induces some new types of distortions, which are inherently different from the distortions caused by video coding. This work is dedicated to better evaluate the quality of DIBRsynthesized views in immersive multimedia. In chapter 2, we propose a completely No-reference (NR) metric. The principle of the first NR metrics NIQSV is to use a couple of opening and closing morphological operations to detect and measure the distortions, such as “blurry regions” and “crumbling”. In the second NR metric NIQSV+, we improve NIQSV by adding a “black hole” and a “stretching” detection. In chapter 3, we propose two Fullreference metrics to handle the geometric distortions by using a dis-occlusion mask and a multi-resolution block matching methods.In chapter 4, we present a new DIBR-synthesized image database with its associated subjective scores. This work focuses on the distortions only induced by different DIBR synthesis methods which determine the quality of experience (QoE) of these DIBR related applications. In addition, we also conduct a benchmark of the state-of-the-art objective quality assessment metrics for DIBR-synthesized views on this database. The chapter 5 concludes the contributions of this thesis and gives some directions of future work
Havstad, Alexander. "Image quality assessment using artificial neural networks." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2005. https://ro.ecu.edu.au/theses/664.
Повний текст джерелаHadley, Michael P. Wiest James A. "Integrated theater assessment profiling system /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FHadley.pdf.
Повний текст джерелаThesis advisor(s): Alexander Bordetsky, Richard S. Coté. Michael P. Hadley received M.S. degrees in Information Technology Management and in Computer Science. James A. Wiest received a M.S. degree in Information Technology Management. Also available online.
Narayanan, Sridar 1966. "Image analysis for the assessment of stereotactic radiosurgery." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68229.
Повний текст джерелаThe image-dose analysis software, running on a UNIX workstation, is presented, including software utilities for the evaluation of radiosurgery treatment plans based on magnetic resonance (MR) images. The importance of dose-volume histograms (DVHs) in the assessment of treatment plans is discussed, and the software developed to generate DVHs is described.
A technique for the experimental verification of calculated three-dimensional (3D) dose distributions is presented. This computerized approach is based on stereotactic principles and uses a plastic phantom and radiotherapy verification film as the dosimeter. The results indicate that, with some improvements, this is a viable technique for the experimental validation of stereotactic 3D treatment planning software.
Jenadeleh, Mohsen [Verfasser]. "Blind Image and Video Quality Assessment / Mohsen Jenadeleh." Konstanz : Bibliothek der Universität Konstanz, 2018. http://d-nb.info/117308777X/34.
Повний текст джерелаGalkandage, Chathura. "Perception inspired stereoscopic image and video quality assessment." Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/845426/.
Повний текст джерелаWang, Lei. "System Designs for Diabetic Foot Ulcer Image Assessment." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/67.
Повний текст джерелаMarais, Izak van Zyl. "On-board image quality assessment for a satellite." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1436.
Повний текст джерелаThe downloading of images is a bottleneck in the image acquisition chain for low earth orbit, remote sensing satellites. An on-board image quality assessment system could optimise use of available downlink time by prioritising images for download, based on their quality. An image quality assessment system based on measuring image degradations is proposed. Algorithms for estimating degradations are investigated. The degradation types considered are cloud cover, additive sensor noise and the defocus extent of the telescope. For cloud detection, the novel application of heteroscedastic discriminant analysis resulted in better performance than comparable dimension reducing transforms from remote sensing literature. A region growing method, which was previously used on-board a micro-satellite for cloud cover estimation, is critically evaluated and compared to commonly used thresholding. The thresholding method is recommended. A remote sensing noise estimation algorithm is compared to a noise estimation algorithm based on image pyramids. The image pyramid algorithm is recommended. It is adapted, which results in smaller errors. A novel angular spectral smoothing method for increasing the robustness of spectral based, direct defocus estimation is introduced. Three existing spectral based defocus estimation methods are compared with the angular smoothing method. An image quality assessment model is developed that models the mapping of the three estimated degradation levels to one quality score. A subjective image quality evaluation experiment is conducted, during which more than 18000 independent human judgements are collected. Two quality assessment models, based on neural networks and splines, are tted to this data. The spline model is recommended. The integrated system is evaluated and image quality predictions are shown to correlate well with human quality perception.
Song, Weilian. "Image-Based Roadway Assessment Using Convolutional Neural Networks." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/78.
Повний текст джерелаFisher, Jeffrey G. Wang Clare H. Czarney Jonathan R. "Organizational assessment of Shelter Outreach Plus /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FFisher%5FMBA.pdf.
Повний текст джерела"MBA professional report"--Cover. Thesis advisor(s): Cary Simon, Mary Malina. Includes bibliographical references (p. 39). Also available online.
Zhang, Chen. "Blind Full Reference Quality Assessment of Poisson Image Denoising." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398875743.
Повний текст джерелаRoss, Victor B. "Using rapid environmental assessment to improve the hazard prediction and assessment capability for weapons of mass destruction." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FRoss%5FMETOC.pdf.
Повний текст джерелаThesis advisor(s): Carlyle Wash, Neil Rowe. Includes bibliographical references (p. 47-48). Also available online.
Radford, Brian W. "The Effect of Formative Assessments on Teaching and Learning." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3497.pdf.
Повний текст джерелаTrimble, Nicholas Robert. "Experimental assessment of aggregates." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/trimble/TrimbleN0807.pdf.
Повний текст джерелаLi, Cui. "Image quality assessment using algorithmic and machine learning techniques." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources. Restricted: no access until June 2, 2014, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=26521.
Повний текст джерелаWith: An image quality metric based in corner, edge and symmetry maps / Li Cui, Alastair R. Allen. With: An image quality metric based on a colour appearance model / Li Cui and Alastair R. Allen. ACIVS / J. Blanc-Talon et al. eds. 2008 LNCS 5259, 696-707. Includes bibliographical references.
Alpi, Davide. "Metodi di Deep Learning per Blind Image Quality Assessment." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23084/.
Повний текст джерелаZhu, 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.
Повний текст джерелаLee, Richard Leonard. "Image processing of radiographs in the assessment of osteoporosis." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417850.
Повний текст джерелаAbdul, Manap Redzuan. "New learning frameworks for blind image quality assessment model." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/20945/.
Повний текст джерелаChen, Zhili. "Mammographic image analysis : risk assessment and microcalcification classifcation aspects." Thesis, Aberystwyth University, 2013. http://hdl.handle.net/2160/14cb88d7-0d17-4741-ae61-25af5436c45d.
Повний текст джерелаSungkatavat, Sarinya. "Assessment of the U.S. travelers’ destination image of Thailand." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16911.
Повний текст джерелаDepartment of Hospitality Management and Dietetics
Deborah Canter and Junehee Kwon
Thailand is one of the world’s most popular tourist destinations. However, it has not been successful in capturing and sustaining the U.S. travel market, one of the world’s top source markets by international tourism expenditure. The destination image (DI) is a key factor that affects destination selection, but there has been limited research exploring U.S. travelers’ DI of Thailand. Therefore, the purpose of this research was to measure U.S. travelers’ DI of Thailand and identify important attributes for U.S. travelers in terms of destination selection using mixed methods of qualitative and quantitative approaches. To explore American travelers’ DI of Thailand, personal interviews with 56 U.S. travelers were conducted at Suvarnabhumi Airport in Thailand. Maximum variation purposeful sampling was used to ensure diversity of the sample. One interviewer and a verifier ensured consistent and credible data collection and analyses. Data analyses included inductive, deductive and cross-case analyses. “Friendly People,” “Beaches and Islands,” and “Amazing” described Thailand's DI. First-time visitors had tourist attraction and activity-based images, while repeat visitors rated people and culture-related experience as top reasons for destination selection. Results from the qualitative study were used to identify common and unique attributes for the quantitative survey instrument. To access general perception of Thailand’s DI among U.S. travelers, an online survey was conducted with 522 international travelers including non-visitors (n=173), virtual-visitors (n=175) and visitors to Thailand (n=174). Descriptive statistics, ANOVA, and factor analyses were conducted. Of five factors that solidified the DI of Thailand, cultural attributes and local experiences represented Thailand’s DI the most. DIs were different among different types of visitors. Importance-Performance Analysis illustrated Thailand’s destination attributes and their importance for destination selection. For U.S. travelers, travel environment was the most important factor but had low performance. Thailand tourism organizations may use these findings for future marketing efforts toward the U.S. travel market.
Bouraoui, Atidel. "Image quality assessment using an artificial neural network approach." Paris 13, 2012. http://scbd-sto.univ-paris13.fr/intranet/edgalilee_th_2012_lahoulou_ep_bouraoui.pdf.
Повний текст джерелаImage quality assessment presents a substantial interest for image services that target human observers. Indeed, Image quality can be measured in two different ways. The first, called “subjective quality assessment”, is the obvious approach given the subjective nature of the visual data quality. The second one is called “objective quality assessment” that automatically allow to produce values that score image quality. There exists a large array of objective image quality assessment measures for which a taxonomic scheme has been proposed in the beginning of this manuscript. In fact, the first objective of this thesis is to provide a complete and thorough statistical predictive performance assessment of a variety of full‐reference objective quality measures over number of subjectively rated image quality databases. The second is to define the image attributes that are the most relevant to its quality evaluation. Two feature selection methods have been used including the structural risk minimization and the neural network based approaches. This allowed us to develop two new objective reduced‐reference image quality metrics where the image quality assessment requires the use of only a few features of the reference and the test images. The third objective of this research work is to exploit the supervised machine learning techniques, especially the multilayer perceptron based model, for automatic image quality appreciation. The system learns from the subjective quality scores and builds a model capable to further provide an objective measure that continues to match with the human opinion to any other image. The main target was to optimize the predictive performance of the developed measures according to correlation, monotonicity and accuracy. The default cost function based on error was employed for the first developed measure (that we called ECF) and a customized cost function based on correlation was proposed to design the second metric (that we called CCF). The comparative investigation to eighteen other full‐reference image quality algorithms over three image quality databases shows that both ECF and CCF take into consideration the nonlinearities of the human visual system. The ECF is more accurate than the majority of the metrics under study, while the CCF outperforms all its counterparts in terms of correlation and hence monotonicity
Alaql, Omar abdulrahman. "GENERAL PURPOSE APPROACHES FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1495821893652963.
Повний текст джерелаPourebadi, Maryam. "A DEEP LEARNING APPROACH FOR BLIND IMAGE QUALITY ASSESSMENT." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1499797575099571.
Повний текст джерелаKang, Chen. "Image Aesthetic Quality Assessment Based on Deep Neural Networks." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG004.
Повний текст джерелаWith the development of capture devices and the Internet, people access to an increasing amount of images. Assessing visual aesthetics has important applications in several domains, from image retrieval and recommendation to enhancement. Image aesthetic quality assessment aims at determining how beautiful an image looks to human observers. Many problems in this field are not studied well, including the subjectivity of aesthetic quality assessment, explanation of aesthetics and the human-annotated data collection. Conventional image aesthetic quality prediction aims at predicting the average score or aesthetic class of a picture. However, the aesthetic prediction is intrinsically subjective, and images with similar mean aesthetic scores/class might display very different levels of consensus by human raters. Recent work has dealt with aesthetic subjectivity by predicting the distribution of human scores, but predicting the distribution is not directly interpretable in terms of subjectivity, and might be sub-optimal compared to directly estimating subjectivity descriptors computed from ground-truth scores. Furthermore, labels in existing datasets are often noisy, incomplete or they do not allow more sophisticated tasks such as understanding why an image looks beautiful or not to a human observer. In this thesis, we first propose several measures of subjectivity, ranging from simple statistical measures such as the standard deviation of the scores, to newly proposed descriptors inspired by information theory. We evaluate the prediction performance of these measures when they are computed from predicted score distributions and when they are directly learned from ground-truth data. We find that the latter strategy provides in general better results. We also use the subjectivity to improve predicting aesthetic scores, showing that information theory inspired subjectivity measures perform better than statistical measures. Then, we propose an Explainable Visual Aesthetics (EVA) dataset, which contains 4070 images with at least 30 votes per image. EVA has been crowd-sourced using a more disciplined approach inspired by quality assessment best practices. It also offers additional features, such as the degree of difficulty in assessing the aesthetic score, rating for 4 complementary aesthetic attributes, as well as the relative importance of each attribute to form aesthetic opinions. The publicly available dataset is expected to contribute to future research on understanding and predicting visual quality aesthetics. Additionally, we studied the explainability of image aesthetic quality assessment. A statistical analysis on EVA demonstrates that the collected attributes and relative importance can be linearly combined to explain effectively the overall aesthetic mean opinion scores. We found subjectivity has a limited correlation to average personal difficulty in aesthetic assessment, and the subject's region, photographic level and age affect the user's aesthetic assessment significantly
Hettiarachchi, Don Lahiru Nirmal Manikka. "An Accelerated General Purpose No-Reference Image Quality Assessment Metric and an Image Fusion Technique." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1470048998.
Повний текст джерелаYoung, Tyler Blaine. "Early-age strength assessment of cement-treated materials /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1779.pdf.
Повний текст джерелаBeavers, Aaron Evens. "Fish passage at UDOT culverts : prioritization & assessment /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2580.pdf.
Повний текст джерелаPelkola, Ryan James. "The European Union's headline goal : an operational assessment." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FPelkola.pdf.
Повний текст джерелаThesis advisor(s): David S. Yost, Tjarek Roessler. Includes bibliographical references. Also available online.
Bullard, Steven G. "A qualitative assessment and analysis of stakeholder expectations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FBullard.pdf.
Повний текст джерелаThesis advisor(s): Walter E. Owen, Bryan Scurry. Includes bibliographical references (p. 87-90). Also available online.
Teo, Tiat Leng. "Scenario selection and student assessment modules for CyberCIEGE." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FTeo%5FT.pdf.
Повний текст джерелаThesis advisor(s): Cynthia Irvine, Michael Thompson. Includes bibliographical references (p. 103-105). Also available online.
Baraheem, Samah Saeed. "Text to Image Synthesis via Mask Anchor Points and Aesthetic Assessment." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton158800567702413.
Повний текст джерелаKim, Duhwan. "Multi-Scale Assessment of Geotextile-Geomembrane Interaction." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14019.
Повний текст джерелаGao, Zhigang. "Image/video compression and quality assessment based on wavelet transform." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1187195053.
Повний текст джерелаKinugasa, Taisuke. "Individualized assessment of conditioning for elite athletes /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18053.pdf.
Повний текст джерелаGranados, Daniel P. Kelly Kreg L. "Automated assessment of squadron enlisted manpower, training and readiness /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FGranados.pdf.
Повний текст джерелаThesis advisor(s): John S. Osmundson, Dale M. Courtney. Includes bibliographical references (p. 148). Also available online.
Nébouy, David. "Printing quality assessment by image processing and color prediction models." Thesis, Saint-Etienne, 2015. http://www.theses.fr/2015STET4018/document.
Повний текст джерелаPrinting, though an old technique for surface coloration, considerably progressed these last decades especially thanks to the digital revolution. Professionals who want to meet the demands in terms of quality regarding the visual rendering of their clients thus want to know to which extent human observers are sensitive to the degradation of an image. Such questions regarding the perceived quality of a reproduced image can be split into two different topics: the printing quality as capacity of a printing system of accurately reproduce an original digital image, and the printed image quality which results from both the reproduction quality and the quality of the original image itself. The first concept relies on physical analysis of the way the original image is deteriorated when transferred onto the support, and we propose to couple it with a sensorial analysis, which aims at assessing perceptual attributes by giving them a value on a certain scale, determined with respect to reference samples classified by a set of observers. The second concept includes the degradation due to the printing plus the perceived quality of the original image, not in the scope of this work. In this report, we focus on the printing quality concept. Our approach first consists in the definition of several printing quality indices, based on measurable criteria using assessment tools based on “objective” image processing algorithms and optical models on a printed-then-scanned image. PhD work made in Hubert Curien Laboratory
Bégin, Isabelle. "Camera-independent learning and image quality assessment for super-resolution." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102957.
Повний текст джерелаLearning-based methods have been successfully applied to the single frame super-resolution problem in the past. However, sensor characteristics such as the Point Spread Function (PSF) must often be known. In this thesis, a learning-based approach is adapted to work without the knowledge of the PSF thus making the framework camera-independent. However, the goal is not only to super-resolve an image under this limitation, but also to provide an estimation of the best PSF, consisting of a theoretical model with one unknown parameter.
In particular, two extensions of a method performing belief propagation on a Markov Random Field are presented. The first method finds the best PSF parameter by performing a search for the minimum mean distance between training examples and patches from the input image. In the second method, the best PSF parameter and the super-resolution result are found simultaneously by providing a range of possible PSF parameters from which the super-resolution algorithm will choose from. For both methods, a first estimate is obtained through blind deconvolution and an uncertainty is calculated in order to restrict the search.
Both camera-independent adaptations are compared and analyzed in various experiments, and a set of key parameters are varied to determine their effect on both the super-resolution and the PSF parameter recovery results. The use of quality measures is thus essential to quantify the improvements obtained from the algorithms. A set of measures is chosen that represents different aspects of image quality: the signal fidelity, the perceptual quality and the localization and scale of the edges.
Results indicate that both methods improve similarity to the ground truth and can in general refine the initial PSF parameter estimate towards the true value. Furthermore, the similarity measure results show that the chosen learning-based framework consistently improves a measure designed for perceptual quality.