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Proceedings Paper

Object-based image restoration for multilayer autofocusing
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Paper Abstract

This paper proposes a fully digital auto-focusing algorithm for restoring the image with differently out-of-focused objects, which can restore background as well as all objects. In this paper, we assume that out-of-focus blur is isotropic such as circle of confusion (COC) or two-dimensional Gaussian blur. Therefore, the proposed algorithm can segment and estimate the point spread function (PSF) by using the size of ramp in the one-dimensional step response. The proposed algorithm can be developed by object-based image segmentation and restoration algorithm. Experimental results show that the proposed object-based image restoration algorithm can efficiently remove the space-variant out of focus blur from the image with multiple blurred objects.

Paper Details

Date Published: 18 January 2004
PDF: 9 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.527217
Show Author Affiliations
Kiman Kim, Chung-Ang Univ. (South Korea)
Sunghyun Hwang, Chung-Ang Univ. (South Korea)
Jeongho Shin, Chung-Ang Univ. (South Korea)
Joonki Paik, Chung-Ang Univ. (South Korea)
Besma Abidi, Univ. of Tennessee/Knoxville (United States)
Mongi A. Abidi, Univ. of Tennessee/Knoxville (United States)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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