18 January 2004 Object-based image restoration for multilayer autofocusing
Author Affiliations +
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, Kiman Kim, Sunghyun Hwang, Sunghyun Hwang, Jeongho Shin, Jeongho Shin, Joonki Paik, Joonki Paik, Besma Abidi, Besma Abidi, Mongi A. 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


Back to Top