Blind Image Deconvolution (eBook, ePUB)

Theory and Applications
Redaktion: Campisi, Patrizio; Egiazarian, Karen

• Format: ePub

Produktbeschreibung

The always increasing demand for enhancing the quality of images for consumer applications-medical or biological imaging, in remote sensing, and for astronomy, to cite only a few-has fueled a resurgence of research into blind deconvolution techniques. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field. This comprehensive treatise discusses Bayesian methods, single- and multi-channel techniques, adaptive and multi-frame methods, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 472
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781351837682
• Artikelnr.: 50528406

Autorenporträt

Patrizio Campisi, Karen Egiazarian

Inhaltsangabe

Blind image Deconvolution: Problem Formulation and Existing Approaches.
Blind Image Deconvolution using Bussgang Techniques. Applications to Image
Deblurring and Texture Synthesis. Blind Multiframe Image Deconvolution
Using Anisotropic Spatially Adaptive Filtering for Denoising and
Regularization. Bayesian Methods Based on Variational Approximations for
Blind Image Deconvolution. Deconvolution of Medical Images from Microscopic
to Whole Body Images. Bayesian Estimation of Blur and Noise in Remote
Sensing Imaging. Deconvolution and Blind Deconvolution in Astronomy.
Multiframe Blind Deconvolution Coupled with Frame Registration and
Resolution Enhancement. Blind Reconstruction of Multiframe Imagery Based on
Fusion and Classification. Blind Deconvolution and Structured Matrix
Computations with Applications to Array Imaging. Index.