Blind deblurring of natural images

A new method to perform blind image deblurring is proposed. Very few assumptions are made on the blurring filter and on the original image: the blurring filter is assumed to have limited support and the original image is assumed to be a sharp natural image. A new prior is used, which gives higher pr...

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Bibliographic Details
Published in2008 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 1261 - 1264
Main Authors Almeida, M.S.C., Almeida, L.B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
Subjects
Blind image deconvolution
Deconvolution
Degradation
Filtering
Focusing
Image edge analysis
Image edge detection
Image enhancement
Image restoration
Nonlinear filters
Pixel
Sparse distributions
Telecommunications
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Summary:A new method to perform blind image deblurring is proposed. Very few assumptions are made on the blurring filter and on the original image: the blurring filter is assumed to have limited support and the original image is assumed to be a sharp natural image. A new prior is used, which gives higher probability to images with sharp edges. The estimation of both the deblurred image and the blurring filter is made in a progressive way, first taking into account the main features of the image, and then proceeding to smaller details. The results obtained with synthetically blurred images are good, even when the blur operator is rather ill-conditioned and the blurred image is noisy. The method also yields improvements in real-life photographs with focus and motion blurs.
ISBN:9781424414833
1424414830
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4517846