A novel median-contourlet for image denoising application

Jinping He; Kun Gao; Guoqiang Ni

doi:10.1117/12.756544

29 November 2007 A novel median-contourlet for image denoising application

Jinping He, Kun Gao, Guoqiang Ni

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 68332N (2007) https://doi.org/10.1117/12.756544
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

In this paper, a novel contourlet transform based on median filter is proposed. By using a novel median pyramidal decomposition, the noise distributing is analyzed for the image distorted by salt-and-pepper noise and Gaussian noise respectively. Comparing the Probability-Density -Functions of the detail coefficients of the each corresponding layer, it is found that these two kinds of noise mainly concentrate on the bottom high frequency layer. So a majority of noises can be removed by denoting zero the bottom layer coefficient. Median-Contourlet transform is completed when the second layer and other high frequency image is calculated by PDFB(Pyramidal Directional Filter Bank). After analysing of Contourlet coefficients, we select the best threshold to remove further the noises. Applying the same denoising method to images, the Median-Contourlet achieves obvious improvement in both subjective visual effect and SNR comparing with traditional contourlet transform.

Citation Download Citation

Jinping He, Kun Gao, and Guoqiang Ni "A novel median-contourlet for image denoising application", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68332N (29 November 2007); https://doi.org/10.1117/12.756544

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