Blind Image Deconvolution Methods and Convergence /

• Main Authors: Chaudhuri, Subhasis (Author), Velmurugan, Rajbabu (Author), Rameshan, Renu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Subjects: Computer science.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Signal, Image and Speech Processing.

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 exp...

Table of Contents:

• 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.