Fourier contourlet regularized deconvolution for image restoration

Meizheng Zhu; Liyu Lin; Tao Sun; Qianqing Qin

doi:10.1117/12.815885

29 December 2008 Fourier contourlet regularized deconvolution for image restoration

Meizheng Zhu, Liyu Lin, Tao Sun, Qianqing Qin

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72851L (2008) https://doi.org/10.1117/12.815885
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

We propose an efficient, hybrid Fourier-Contourlet regularized deconvolution (ForCorRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier and Contourlet domains. It is based on and more efficient to the famous Fourier-Wavelet regularized deconvolution (ForWaRD) algorithm. The Fourier shrinkage exploits the Fourier transform's economical representation of the colored noise inherent in deconvolution, whereas the contourlet shrinkage exploits the contourlet domain's economical representation of piecewise smooth signals and images. Like the ForWaRD algorithm, ForCoRD is also applicable to all ill-conditioned deconvolution problems. In the same experiment condition for nature images' debluring, we prove that ForCoRD outperforms ForWaRD's in terms of both visual quality and PSNR performance.

Citation Download Citation

Meizheng Zhu, Liyu Lin, Tao Sun, and Qianqing Qin "Fourier contourlet regularized deconvolution for image restoration", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72851L (29 December 2008); https://doi.org/10.1117/12.815885

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