Object-based image restoration for multilayer autofocusing

Kiman Kim; Sunghyun Hwang; Jeongho Shin; Joonki Paik; Besma Abidi; Mongi A. Abidi

doi:10.1117/12.527217

18 January 2004 Object-based image restoration for multilayer autofocusing

Kiman Kim, Sunghyun Hwang, Jeongho Shin, Joonki Paik, Besma Abidi, Mongi A. Abidi

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.527217
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Kiman Kim, Sunghyun Hwang, Jeongho Shin, Joonki Paik, Besma Abidi, and Mongi A. Abidi "Object-based image restoration for multilayer autofocusing", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.527217

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