Restoration algorithm for turbulence-degraded images based on multi-scale blind deconvolution

Hanyu Hong; Tianxu Zhang; Jiuyang Yu

doi:10.1117/12.751266

15 November 2007 Restoration algorithm for turbulence-degraded images based on multi-scale blind deconvolution

Hanyu Hong, Tianxu Zhang, Jiuyang Yu

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678725 (2007) https://doi.org/10.1117/12.751266
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Hanyu Hong, Tianxu Zhang, and Jiuyang Yu "Restoration algorithm for turbulence-degraded images based on multi-scale blind deconvolution", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678725 (15 November 2007); https://doi.org/10.1117/12.751266

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KEYWORDS

Wavelets

Point spread functions

Deconvolution

Convolution

Signal to noise ratio

Atmospheric turbulence

Image restoration

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