18 January 2004 Object-based image restoration for multilayer autofocusing
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kiman Kim, Sunghyun Hwang, Jeongho Shin, Joonki Paik, Besma Abidi, Mongi A. Abidi, "Object-based image restoration for multilayer autofocusing", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.527217; https://doi.org/10.1117/12.527217
PROCEEDINGS
9 PAGES


SHARE
Back to Top