Algorithm for the blind deconvolution of images based on neural networks

Boxin Zuo; Jinwen Tian; Li Zu; Anhong Chen

doi:10.1117/12.749379

15 November 2007 Algorithm for the blind deconvolution of images based on neural networks

Boxin Zuo, Jinwen Tian, Li Zu, Anhong Chen

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871B (2007) https://doi.org/10.1117/12.749379
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

An iterative blind deconvolution algorithm for degrade image is presented in this paper. The algorithm includes two steps, namely, the estimation of the point spread function of degrade image and the restoration using estimated point spread function. Two different Hopfield neural networks are built for realizing the two steps. An iterative procedure is used to control the restoration process. The simulation results indicate that the method is effective for blind deconvolution with high convergence speed.

Citation Download Citation

Boxin Zuo, Jinwen Tian, Li Zu, and Anhong Chen "Algorithm for the blind deconvolution of images based on neural networks", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871B (15 November 2007); https://doi.org/10.1117/12.749379

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