Iterative-Interpolation Super-Resolution Image Reconstruction

A Computationally Efficient Technique

  • Vivek┬áBannore

Part of the Studies in Computational Intelligence book series (SCI, volume 195)

Table of contents

  1. Front Matter
  2. Vivek Bannore
    Pages 1-8
  3. Vivek Bannore
    Pages 9-17
  4. Vivek Bannore
    Pages 77-91
  5. Vivek Bannore
    Pages 93-103
  6. Vivek Bannore
    Pages 105-107
  7. Back Matter

About this book

Introduction

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 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.

Keywords

Computational Intelligence Image Processing Intelligent Image Super-resolution Techniques Interpolation Pattern Recognition image registration optimization

Authors and affiliations

  • Vivek┬áBannore
    • 1
  1. 1.University of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00385-1
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00384-4
  • Online ISBN 978-3-642-00385-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book