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Báo cáo hóa học: "Research Article Iterative PSF Estimation and Its Application to Shift Invariant and Variant Blur Reduction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Iterative PSF Estimation and Its Application to Shift Invariant and Variant Blur Reduction | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 909636 14 pages doi 10.1155 2009 909636 Research Article Iterative PSF Estimation and Its Application to Shift Invariant and Variant Blur Reduction Seung-Won Jung 1 Byeong-Doo Choi 2 and Sung-Jea Ko1 1 Department of Electronics Engineering Korea University Anam-Dong Sungbuk-Ku Seoul 136-701 South Korea 2 Fraunhofer Institute for Telecommunications Heinrich-Hertz-Institut HHI 10587 Berlin Germany Correspondence should be addressed to Sung-Jea Ko sjko@korea.ac.kr Received 16 February 2009 Accepted 8 October 2009 Recommended by Stephen Marshall Among image restoration approaches image deconvolution has been considered a powerful solution. In image deconvolution a point spread function PSF which describes the blur of the image needs to be determined. Therefore in this paper we propose an iterative PSF estimation algorithm which is able to estimate an accurate PSF. In real-world motion-blurred images a simple parametric model of the PSF fails when a camera moves in an arbitrary direction with an inconsistent speed during an exposure time. Moreover the PSF normally changes with spatial location. In order to accurately estimate the complex PSF of a real motion blurred image we iteratively update the PSF by using a directional spreading operator. The directional spreading is applied to the PSF when it reduces the amount of the blur and the restoration artifacts. Then to generalize the proposed technique to the linear shift variant LSV model a piecewise invariant approach is adopted by the proposed image segmentation method. Experimental results show that the proposed method effectively estimates the PSF and restores the degraded images. Copyright 2009 Seung-Won Jung et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is .