An Improved Blind Image Restoration Based on Bi-Spectral Reconstruction

Li Li Liu; Jian Song Tian

doi:10.4028/www.scientific.net/AMM.644-650.4229

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650An Improved Blind Image Restoration Based on...

An Improved Blind Image Restoration Based on Bi-Spectral Reconstruction

Abstract:

Image blind restoration is very important in our life. The image restoration is a ill-posed question so the regularization is much better method. For the regularization method, the most important is to select the regularization parameter [1]. If the parameter is bigger, to be smooth the edge or detail, but smaller, not to be smooth the noise [2], In this paper, we present a new method. Firstly, decomposing the image using wavelet transform, the high frequency information is corresponding to the edge and noise, the low frequency is the flat .We denoise using the bi-spectral reconstruction in high frequency, for the low frequency, we recover by the regularization method .This method has advantage in holding the edge and is simple to choose the parameter of regularization .Experimental results show the good performance, this method is very effective for the image polluted by the symmetry noise.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4229-4232

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4229

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Online since:

September 2014

Authors:

Li Li Liu*, Jian Song Tian

Keywords:

High Cumulant Spectrum, Image Restoration, Regularization Restoration

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