Journal of Graphics
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Abstract: To solve some problems on image denoising, such as losing details and falling into poor effects, a method of image denoising is proposed based on adaptive contraction function Contourlet transform algorithm. According to the basic Contourlet transform form and combing the soft threshold and hard threshold contraction function, the adaptive contraction function is defined. Experimental results show that the proposed method can greatly remove noise, effectively improve peak signal to noise ratio, mean squared error and image enhancement factor of image quality index. After combining the improved threshold function, the image has better visual quality.
Key words: Contourlet transform, adaptive contraction function, contract order, soft threshold, hard threshold
Niu Weihua, Meng Jianliang, Wang Ze, Cui Kebin. Image Denoising Based on Adaptive Contraction Function Contourlet Transform[J]. Journal of Graphics.
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http://www.txxb.com.cn/EN/Y2015/V36/I4/593