Blind image deconvolution : theory and applications / edited by Patrizio Campisi, Karen Egiazarian.

Contributor(s): Campisi, Patrizio, 1968- | Egiazarian, K. (Karen), 1959-Material type: TextTextPublisher: Boca Raton : CRC Press, c2007Description: 448 p. : ill. (some col.) ; 25 cmISBN: 9780849373671 (alk. paper); 0849373670 (alk. paper)Subject(s): Digital images -- Deconvolution -- Mathematics | Spectrum analysis -- Deconvolution -- MathematicsDDC classification: 621.367, BLI LOC classification: TA1632 | .B55 2007Online resources: Table of contents only | Publisher description
Contents:
Blind Image Deconvolution: Problem Formulation and Existing Approaches (Page-1), Blind Image Deconvolution Using Bussgang Techniques: Applications to Image Deblurring and Texture Synthesis (Page-43),Blind Multiframe Image Deconvolution Using Anisotropic Spatially Adaptive Filtering for Denoising and Regularization (Page-95),Bayesian Methods Based on Variational Approximations for Blind Image Deconvolution (Page-141),Deconvolution of Medical Images From Microscopic to Whole Body Images (Page-169),Bayesian Estimation of Blur and Noise in Remote Sensing Imaging (Page-239),Deconvolution and Blind Deconvolution in Astronomy (Page-277),Multiframe Blind Deconvolution Coupled with Frame Registration and Resolution Enhancement (Page-317),Blind Reconstruction of Multiframe Imagery Based on Fusion and Classification (Page-349),Blind Deconvolution and Structured Matrix Computations with Applications to Array Imaging (Page-377).
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Item type Current location Home library Shelving location Call number Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
Reference 621.367,BLI (Browse shelf) Available Almirah Fresh No.45, Shelf No.2 MCS38608
Total holds: 0

Blind Image Deconvolution: Problem Formulation and Existing Approaches (Page-1), Blind Image Deconvolution Using Bussgang Techniques: Applications to Image Deblurring and Texture Synthesis (Page-43),Blind Multiframe Image Deconvolution Using Anisotropic Spatially Adaptive Filtering for Denoising and Regularization (Page-95),Bayesian Methods Based on Variational Approximations for Blind Image Deconvolution (Page-141),Deconvolution of Medical Images From Microscopic to Whole Body Images (Page-169),Bayesian Estimation of Blur and Noise in Remote Sensing Imaging (Page-239),Deconvolution and Blind Deconvolution in Astronomy (Page-277),Multiframe Blind Deconvolution Coupled with Frame Registration and Resolution Enhancement (Page-317),Blind Reconstruction of Multiframe Imagery Based on Fusion and Classification (Page-349),Blind Deconvolution and Structured Matrix Computations with Applications to Array Imaging (Page-377).

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