A Novel Search Approach for Blur Kernel Estimation of Defocused Image Restoration-Reference-Cited by-同舟云学术

A Novel Search Approach for Blur Kernel Estimation of Defocused Image Restoration

Published:2013 Issue:3 Volume:E96.D Page:754-757
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

AHN Sangwoo¹,CHONG Jongwha²

Affiliation:

1. Department of Nanoscale Semiconductor Engineering, Hanyang University

2. Department of Electronics and Computer Engineering, Hanyang University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E96.D/3/E96.D_754/_pdf

Reference10 articles.

1. [1] L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, “Image deblurring with blurred/noisy image pairs,” ACM Trans. Graphics, vol.26, no.1, article.1, 2007.

2. [2] R. Fergus, B. Singh, A. Hertzmann, S.T. Roweis, and W.T. Freeman, “Removing camera shake from a single photograph,” ACM Trans. Graphics, vol.25, no.3, pp.787-794, 2006.

3. [3] M.E Moghaddam, “Out of focus blur estimation using genetic algorithm,” International Conference on Systems, Signals and Image Processing, pp.417-420, June 2008.

4. [4] T.Y. Sun, S.J. Ciou, C.C. Liu, and C.L. Huo, “Out-of-focus blur estimation for blind image deconvolution: Using particle swarm optimization,” IEEE International Conference on Systems, Man and Cybernetics, pp.1627-1632, Oct. 2009.

5. [5] S. Wu, W. Lin, L. Jian, W. Xiong, and L. Chen, “An objective out-of-focus blur measurement,” International Conference on Information, Communications and Signal Processing, pp.334-338, 2005.