Iterative-interpolation Super-resolution Image Reconstruction: A Computationally Efficient Technique

E-Book Overview

This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the <EM>Iterative-Interpolation Super-Resolution (IISR) technique. The optimization-based technique for super-resolution is reinvestigated for comparative analysis to evaluate the accuracy and efficiency of the IISR technique. The significant influence of the regularization term over the fidelity of reconstruction is also analysed. The IISR technique addresses the problem of super-resolution image enhancement in terms of maintaining highest fidelity of reconstruction and a low computational cost to achieve maximum applicability of super-resolution to the real-world applications.


E-Book Content

Vivek Bannore Iterative-Interpolation Super-Resolution Image Reconstruction Studies in Computational Intelligence, Volume 195 Editor-in-Chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 172. I-Hsien Ting and Hui-Ju Wu (Eds.) Web Mining Applications in E-Commerce and E-Services, 2009 ISBN 978-3-540-88080-6 Vol. 184. Ljupco Kocarev, Zbigniew Galias and Shiguo Lian (Eds.) Intelligent Computing Based on Chaos, 2009 ISBN 978-3-540-95971-7 Vol. 185. Anthony Brabazon and Michael O’Neill (Eds.) Natural Computing in Computational Finance, 2009 ISBN 978-3-540-95973-1 Vol. 173. Tobias Grosche Computational Intelligence in Integrated Airline Scheduling, 2009 ISBN 978-3-540-89886-3 Vol. 186. Chi-Keong Goh and Kay Chen Tan Evolutionary Multi-objective Optimization in Uncertain Environments, 2009 ISBN 978-3-540-95975-5 Vol. 174. Ajith Abraham, Rafael Falc´on and Rafael Bello (Eds.) Rough Set Theory: A True Landmark in Data Analysis, 2009 ISBN 978-3-540-89886-3 Vol. 187. Mitsuo Gen, David Green, Osamu Katai, Bob McKay, Akira Namatame, Ruhul A. Sarker and Byoung-Tak Zhang (Eds.) Intelligent and Evolutionary Systems, 2009 ISBN 978-3-540-95977-9 Vol. 175. Godfrey C. Onwubolu and Donald Davendra (Eds.) Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization, 2009 ISBN 978-3-540-92150-9 Vol. 176. Beniamino Murgante, Giuseppe Borruso and Alessandra Lapucci (Eds.) Geocomputation and Urban Planning, 2009 ISBN 978-3-540-89929-7 Vol. 177. Dikai Liu, Lingfeng Wang and Kay Chen Tan (Eds.) Design and Control of Intelligent Robotic Systems, 2009 ISBN 978-3-540-89932-7 Vol. 178. Swagatam Das, Ajith Abraham and Amit Konar Metaheuristic Clustering, 2009 ISBN 978-3-540-92172-1 Vol. 179. Mircea Gh. Negoita and Sorin Hintea Bio-Inspired Technologies for the Hardware of Adaptive Systems, 2009 ISBN 978-3-540-76994-1 Vol. 180. Wojciech Mitkowski and Janusz Kacprzyk (Eds.) Modelling Dynamics in Processes and Systems, 2009 ISBN 978-3-540-92202-5 Vol. 181. Georgios Miaoulis and Dimitri Plemenos (Eds.) Intelligent Scene Modelling Information Systems, 2009 ISBN 978-3-540-92901-7 Vol. 188. Agustín Gutiérrez and Santiago Marco (Eds.) Biologically Inspired Signal Processing for Chemical Sensing, 2009 ISBN 978-3-642-00175-8 Vol. 189. Sally McClean, Peter Millard, Elia El-Darzi and Chris Nugent (Eds.) Intelligent Patient Management, 2009 ISBN 978-3-642-00178-9 Vol. 190. K.R. Venugopal, K.G. Srinivasa and L.M. Patnaik Soft Computing for Data Mining Applications, 2009 ISBN 978-3-642-00192-5 Vol. 191. Zong Woo Geem (Ed.) Music-Inspired Harmony Search Algorithm, 2009 ISBN 978-3-642-0018
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