An Improved Image Denoising Method Based on Wavelet Thresholding
An Improved Image Denoising Method Based on Wavelet Thresholding作者机构：Department of Computer Science & Engineering Indian School of Mines Dhanbad India.
出 版 物：《Journal of Signal and Information Processing》 (信号与信息处理（英文）)
年 卷 期：2012年第3卷第1期
页 面：109-116页
学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Wavelet Transforms Neighboring Coefficients Wavelet Thresholding Image Denosing Neighbouring Coefficients Peak Signal-to-Noise Ratio
摘 要：VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT). These methods have disadvantage of using a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper, an improved method is proposed, that determines a threshold as well as neighbouring window size for every subband using its lengths. Our experimental results illustrate that the proposed approach is better than the existing ones, i.e., NeighShrink, ModineighShrink and VisuShrink in terms of peak signal-to-noise ratio (PSNR) i.e. visual quality of the image.
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