Blind image restoration based on parzen-window estimate and regularization method

Lingwei Chen; Xinyu Chen; Ping Guo

doi:10.1117/12.751752

14 November 2007 Blind image restoration based on parzen-window estimate and regularization method

Lingwei Chen, Xinyu Chen, Ping Guo

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891L (2007) https://doi.org/10.1117/12.751752
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

To investigate blind image restoration problem, we propose to combine Parzen-window estimate with regularization technique (PWERT) in this paper. Parzen-window estimate method is engaged to obtain point spread function. And regularization technique is utilized to control the noise deterioration and ill-posed case during image restoration. Experiment results show that PWERT is able to deblur degraded image effectively and is robust to noise.

Citation Download Citation

Lingwei Chen, Xinyu Chen, and Ping Guo "Blind image restoration based on parzen-window estimate and regularization method", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891L (14 November 2007); https://doi.org/10.1117/12.751752

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