Hybrid image denoising method based on non‐subsampled contourlet transform and bandelet transform. Issue 5 (1st May 2018)

• Record Type: Journal Article
• Authors: Wang, Xiaokai; Chen, Wenchao; Gao, Jinghuai; Wang, Chao
• Is Part Of: IET image processing. Volume 12:Issue 5(2018)
• Page Start: 778
• Page End: 784
• Publication Date: 2018-05-01
• Subjects: image denoising -- wavelet transforms -- image colour analysis -- AWGN; visual quality performance -- peak signal‐to‐noise ratio -- Poisson noise -- Gaussian white noise -- greyscale image -- colour benchmark image -- second generation bandelet transform -- nonsubsampled contourlet transform -- hybrid image denoising method; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2017.0647
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : The second generation bandelet transform uses the two‐dimensional (2D) separable wavelet transform to improve its image denoising and compression performance. However, the 2D separable wavelet transform is not a shift‐invariant transform and therefore cannot capture geometric information well. The authors propose a hybrid image denoising method in which the 2D separable wavelet transform in the second generation bandelet transform is replaced with the non‐subsampled contourlet transform. The results of the application of the proposed method to several greyscale and colour benchmark images contaminated with various levels of Gaussian white noise and Poisson noise indicate that the proposed method has good peak signal‐to‐noise ratio and visual quality performance.