Perceptual digital imaging : methods and applications PDF
Preview Perceptual digital imaging : methods and applications
Electrical Engineering LLUUKKAACC METHODS AND APPLICATIONS Visual perception is a complex process requiring interaction between the recep- tors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual informa- tion. This process involves several physical, neural, and cognitive phenomena METHODS AND APPLICATIONS whose understanding is essential to design effective and computationally M efficient imaging solutions. Building on advances in computer vision, image and E video processing, neuroscience, and information engineering, perceptual digital T EDITED BY imaging greatly enhances the capabilities of traditional imaging methods. H O RASTISLAV LUKAC Filling a gap in the literature, Perceptual Digital Imaging: Methods and Appli- D cations comprehensively covers the system design, implementation, and S application aspects of this emerging specialized area. It gives readers a strong, A fundamental understanding of theory and methods, providing a foundation on N which solutions for many of the most interesting and challenging imaging D problems can be built. A P The book features contributions by renowned experts who present the state of P the art and recent trends in image acquisition, processing, storage, display, and L visual quality evaluation. They detail advances in the field and explore human I C visual system-driven approaches across a broad spectrum of applications. A These include image quality and aesthetics assessment, digital camera T I imaging, white balancing and color enhancement, thumbnail generation, image O restoration, super-resolution imaging, digital halftoning and dithering, color N feature extraction, semantic multimedia analysis and processing, video shot S characterization, image and video encryption, display quality enhancement, and more. This is a valuable resource for readers who want to design and implement more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications. Suitable as a graduate-level textbook or stand-alone reference for researchers and practitioners, it provides a unique overview of an important and rapidly developing research field. KKK111333111222333 ISBN: 978-1-4398-6856-0 90000 9 781439 868560 METHODS AND APPLICATIONS K13123_FM.indd 1 8/24/12 10:35 AM Digital Imaging and Computer Vision Series Series Editor Rastislav Lukac Foveon, Inc./Sigma Corporation San Jose, California, U.S.A. Computational Photography: Methods and Applications, by Rastislav Lukac Super-Resolution Imaging, by Peyman Milanfar Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks, by Filippo Stanco, Sebastiano Battiato, and Giovanni Gallo Visual Cryptography and Secret Image Sharing, by Stelvio Cimato and Ching-Nung Yang Image Processing and Analysis with Graphs: Theory and Practice, by Olivier Lézoray and Leo Grady Image Restoration: Fundamentals and Advances, by Bahadir Kursat Gunturk and Xin Li Perceptual Digital Imaging: Methods and Applications, by Rastislav Lukac K13123_FM.indd 2 8/24/12 10:35 AM METHODS AND APPLICATIONS EDITED BY RASTISLAV LUKAC Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business K13123_FM.indd 3 8/24/12 10:35 AM CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2013 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 20120822 International Standard Book Number-13: 978-1-4398-6893-5 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the valid- ity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or uti- lized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopy- ing, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright.com (http:// www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Allourknowledgehasitsoriginsinourperceptions. —LeonardodaVinci(1452–1519) TThhiiss ppaaggee iinntteennttiioonnaallllyy lleefftt bbllaannkk Dedication Tomysupportersandfriends TThhiiss ppaaggee iinntteennttiioonnaallllyy lleefftt bbllaannkk Contents Preface xi TheEditor xv Contributors xvii 1 CharacteristicsofHumanVision 1 StefanWinkler 2 AnAnalysisofHumanVisualPerceptionBasedonReal-Time ConstraintsofEcologicalVision 37 HalukO¨g˘men 3 ImageandVideoQualityAssessment: Perception,Psychophysical Models,andAlgorithms 55 AnushK.Moorthy,KalpanaSeshadrinathan,andAlanC.Bovik 4 VisualAestheticQualityAssessmentofDigitalImages 91 CongcongLiandTsuhanChen 5 PerceptuallyBasedImageProcessingAlgorithmDesign 123 JamesE.Adams,Jr.,AaronT.Deever,Efra´ınO.Morales,and BruceH.Pillman 6 JointWhiteBalancingandColorEnhancement 167 RastislavLukac 7 PerceptualThumbnailGeneration 193 WeiFeng,LiangWan,ZhouchenLin,Tien-TsinWong,and Zhi-QiangLiu 8 Patch-BasedImageProcessing: FromDictionaryLearningto StructuralClustering 223 XinLi 9 PerceptuallyDrivenSuper-ResolutionTechniques 251 NabilSadakaandLinaKaram 10 MethodsofDitherArrayConstructionEmployingModelsofVisual Perception 287 DanielL.Lau,GonzaloR.Arce,andGonzaloJ.Garateguy ix
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