Cited 0 time in webofscience Cited 0 time in scopus

Convergence Analysis of MAP Based Blur Kernel Estimation

Title
Convergence Analysis of MAP Based Blur Kernel Estimation
Authors
Cho, Sung HyunLee, S.
DGIST Authors
Cho, Sung Hyun
Issue Date
2017-10-22
Citation
16th IEEE International Conference on Computer Vision, ICCV 2017, 4818-4826
Type
Conference
ISBN
9781538610329
ISSN
1550-5499
Abstract
One popular approach for blind deconvolution is to formulate a maximum a posteriori (MAP) problem with sparsity priors on the gradients of the latent image, and then alternatingly estimate the blur kernel and the latent image. While several successful MAP based methods have been proposed, there has been much controversy and confusion about their convergence, because sparsity priors have been shown to prefer blurry images to sharp natural images. In this paper, we revisit this problem and provide an analysis on the convergence of MAP based approaches. We first introduce a slight modification to a conventional joint energy function for blind deconvolution. The reformulated energy function yields the same alternating estimation process, but more clearly reveals how blind deconvolution works. We then show the energy function can actually favor the right solution instead of the no-blur solution under certain conditions, which explains the success of previous MAP based approaches. The reformulated energy function and our conditions for the convergence also provide a way to compare the qualities of different blur kernels, and we demonstrate its applicability to automatic blur kernel size selection, blur kernel estimation using light streaks, and defocus estimation. © 2017 IEEE.
URI
http://hdl.handle.net/20.500.11750/5923
DOI
10.1109/ICCV.2017.515
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringVisual Computing Lab2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE