期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2013
卷号：2
期号：3
页码：377-381
语种：English
出版社：World Science Publisher
摘要：In this paper, we propose an image denoising threshold method that exploits the subband dependency of the wavelet coefficients to estimate the signal variance using the local neighboring coefficients. The VisuShrink, SureShrink, and BayesShrink denoising methods are important methods for denoising, but these methods remove too many coefficients, leading to poor image quality. The proposed method retains the modified coefficients significantly that result good visual quality. The experimental results show that our method outperforms the VisuShrink, SureShrink, and BayesShrink denoising methods.
关键词：Thresholding;Image Denoising;Peak Signal-to-Noise Ratio (PSNR)
