Blind Image Deconvolution de Chaudhuri, Subhasis Format Relié

Blind Image Deconvolution - Chaudhuri, Subhasis

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Présentation Blind Image Deconvolution de Chaudhuri, Subhasis Format Relié
- Livre Informatique

Livre Informatique - Chaudhuri, Subhasis - 30/09/2014 - Relié - Langue : Anglais

Auteur(s) : Chaudhuri, Subhasis - Rameshan, Renu - Velmurugan, Rajbabu

Editeur : Springer International Publishing Ag

Langue : Anglais

Parution : 30/09/2014

Format : Moyen, de 350g à 1kg

Nombre de pages : 168

Expédition : 424

Dimensions : 24.1 x 16.0 x 1.5

ISBN : 9783319104843

Résumé :
Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not. In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior. Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.

Biographie:

Avik Hati is currently an Assistant Professor at National Institute of Technology Tiruchirappalli, Tamilnadu. He received his B.Tech. Degree in Electronics and Communication Engineering from Kalyani Government Engineering College, West Bengal in 2010 and M.Tech. Degree in Electronics and Electrical Engineering from the Indian Institute of Technology Guwahati in 2012. He received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Bombay in 2018. He was a Postdoctoral Researcher at the Pattern Analysis and Computer Vision Department of Istituto Italiano di Tecnologia, Genova, Italy. He was an Assistant Professor at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar from 2020 to 2022. He joined National Institute of Technology Tiruchirappalli in 2022. His research interests include image and video co-segmentation, subgraph matching, saliency detection, scene analysis, robust computer vision, adversarial machine learning.

Rajbabu Velmurugan is a Professor in the Department of Electrical Engineering, Indian Institute of Technology Bombay. He received his Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology, USA, in 2007. He was in L&T, India, from 1995 to 1996 and in the MathWorks, USA, from 1998 to 2001. He joined IIT Bombay in 2007. His research interests are broadly in signal processing, inverse problems with application in image and audio processing such as blind deconvolution and source separation, low-level image processing and video analysis, speech enhancement using multi-microphone arrays, and developing efficient hardware systems for signal processing applications.

Sayan Banerjee received his B.Tech. degree in Electrical Engineering from the West Bengal University of Technology, India, in 2012 and M.E. degree in Electrical Engineering from Jadavpur University, Kolkata, in 2015. Currently, he is completingdoctoral studies at the Indian Institute of Technology Bombay. His research areas include image processing, computer vision, and machine learning.

Prof. Subhasis Chaudhuri received his B.Tech. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 1985. He received his M.Sc. and Ph.D. degrees, both in Electrical Engineering, from the University of Calgary, Canada, and the University of California, San Diego, respectively. He joined the Department of Electrical Engineering at the Indian Institute of Technology Bombay, Mumbai, in 1990 as Assistant Professor and is currently serving as KN Bajaj Chair Professor and Director of the institute. He has also served as Head of the Department, Dean (International Relations), and Deputy Director. He has also served as Visiting Professor at the University of Erlangen-Nuremberg, Technical University of Munich, University of Paris XI, Hong Kong Baptist University,and National University of Singapore. He is Fellow of IEEE and the science and engineering academies in India. He is Recipient of the Dr. Vikram Sarabhai Research Award (2001), the Swarnajayanti Fellowship (2003), the S.S. Bhatnagar Prize in engineering sciences (2004), GD Birla Award (2010), and the ACCS Research Award (2021). He is Co-author of the books Depth from Defocus: A Real Aperture Imaging Approach, Motion-Free Super-Resolution, Blind Image Deconvolution: Methods and Convergence, and Kinesthetic Perception: A Machine Learning Approach, all published by Springer, New York (NY). He is an Associate Editor for the International Journal of Computer Vision. His primary areas of research include image processing and computational haptics.

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Sommaire:
Introduction.- Mathematical Background.- Blind Deconvolution Methods: A Review.- MAP Estimation: When Does it Work?.- Convergence Analysis in Fourier Domain.- Spatial Domain Convergence Analysis.- Sparsity-based Blind Deconvolution.- Conclusions and Future Research Directions.

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Blind Image Deconvolution - Chaudhuri, Subhasis

Avis sur Blind Image Deconvolution de Chaudhuri, Subhasis Format Relié - Livre Informatique

Présentation Blind Image Deconvolution de Chaudhuri, Subhasis Format Relié - Livre Informatique

Présentation Blind Image Deconvolution de Chaudhuri, Subhasis Format Relié
- Livre Informatique