Издательство InTech, 2012. — 382 p.This book represents a sample of recent contributions of researchers all around the world in the field of image restoration.
The book consists of 15 chapters organized in three main sections (Theory, Applications, Interdisciplinarity). Topics cover some different aspects of the theory of image restoration. But this book is also an occasion to highlight some new topics of research related to the emergence of some original imaging devices (see Applications Section). From this arise some real challenging problems related to image reconstruction/restoration that open the way to some new fundamental scientific questions closely related with the world we interact with.
An effort has been made by each author to give a large access to their work: Image restoration is not only a problem that interests specialists but also other researchers from different areas (like Robotic, AI, etc.) who can find some inspiration in the proposed Chapters (let have a look to Chapter 15 for instance!)
This book is certainly a small sample of the research activity going on around the globe as you read it, but it surely covers a good deal of what has been done in the field recently, and as such it works as a valuable source for researchers interested in the involved subjects.Theory and Scientific Advances .
Space-Variant Image Restoration with Running Sinusoidal Transforms.
Statistical-Based Approaches for Noise Removal.
Entropic Image Restoration as a Dynamic System with Entropy Operator.
Surface Topography and Texture Restoration from Sectional Optical Imaging by Focus Analysis.
Image Restoration via Topological Derivative.
Regularized Image Restoration.
Iterative Restoration Methods to Loose Estimations Dependency of Regularized Solutions.
Defocused Image Restoration with Local Polynomial Regression and IWF.
Image Restoration Using Two-Dimensional Variations.
Harnessing the Potentials of Image Extrema for Blind Restoration.
Applications.
Image Restoration for Long-Wavelength Imaging Systems.
Super-Resolution Restoration and Image Reconstruction for Passive Millimeter Wave Imaging.
Blind Image Restoration for a Microscanning Imaging System.
2D Iterative Detection Network Based Image Restoration: Principles, Applications and Performance Analysis.
Interdisciplinarity.
An Application of Digital Image Restoration Techniques to Error Control Coding.
