@inproceedings{c037d9eaed964091b6e4fedb062bdc59,
title = "Image restoration for linear local motion-blur based on cepstrum",
abstract = "This paper presents a real-time restoration method for linear local motion-blur image. For an image in which only the fast moving-object is blurred but the background is clear, the proposed basic strategy is to divide such an image into many subimages firstly and then detect the blurred subimage by the gradient distribution and the maximum of cepstrum. For a blurred subimage, the blur direction and blur length are estimated to calculate the parameters of point spread function (PSF) and Lucy-Richardson deconvolution algorithm is employed to restore this blurred subimage. Using many artificial and real blurred images, the experimental results show that the proposed approach is more accurate and robust than other methods.",
keywords = "Blur detection, Cepstrum, Local motion blur, Point spread function",
author = "Chen, \{Chao Ho\} and Zhang Rui and Tseng, \{Kuo Kun\} and Pan, \{Jeng Shyang\}",
year = "2012",
doi = "10.1109/ICGEC.2012.102",
language = "英语",
isbn = "9780769547633",
series = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
pages = "332--335",
booktitle = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",
note = "2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 ; Conference date: 25-08-2012 Through 28-08-2012",
}