Image Deblurring Algorithm for Overlap-Blurred Image

Shao Jie Sun; Qiong Wu; Guo Hui Li

doi:10.4028/www.scientific.net/KEM.439-440.493

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 439-440Image Deblurring Algorithm for Overlap-Blurred...

Image Deblurring Algorithm for Overlap-Blurred Image

Abstract:

Overlap-blur is caused by the relative movement of high speed between the camera and the object during the exposure process, which is one of the most common phenomenons of image degradation during the criminal detection forensics work. Based on the analysis of the overlap-blurred image’s characteristic, a coded-shutter model is proposed to approximate the nature of overlap-blur. As the first attempt, using the coded-shutter model, an image deblurring algorithm is designed for the restoration of the overlap-blurred images. The experiment results show the validity and rationality of the coded-shutter model for deblurring the overlap-blurred images. When tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images better, which demonstrates the higher practical value of the algorithm.

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Periodical:

Key Engineering Materials (Volumes 439-440)

Pages:

493-498

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.439-440.493

Citation:

Cite this paper

Online since:

June 2010

Authors:

Shao Jie Sun, Qiong Wu, Guo Hui Li

Keywords:

Blind Image Deconvolution, Coded-Shutter Model, Criminal Detection Forensics, Overlap-Blurred Image

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