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Proceedings Paper

Restoration algorithm for turbulence-degraded images based on multi-scale blind deconvolution
Author(s): Hanyu Hong; Tianxu Zhang; Jiuyang Yu
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Paper Abstract

For the requirement of fast restoration, an algorithm based on multi-scale blind deconvolution is proposed by ing the multi-scale technology based on wavelet transforms. In the condtion of without knowing the point spread function (PSF), two observed images will be used as the inputs, and the two PSFs at large scale can be estimated by using of the data of the two low-frequency subband images and by incorporating some constraint regularizations. Deblurring is made in the low-frequency subband of the two images while restraining noises and preserving details in other three high-frequency subbands. A series of experiments have been performed to verify the effectiveness of the proposed algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678725 (15 November 2007); doi: 10.1117/12.751266
Show Author Affiliations
Hanyu Hong, Huazhong Univ. of Science and Technology (China)
Wuhan Institute of Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Jiuyang Yu, Wuhan Institute of Technology (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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