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基于邻域的自适应小波阈值图像去噪
引用本文:胡永祥,鲍苏苏. 基于邻域的自适应小波阈值图像去噪[J]. 现代计算机, 2004, 0(8): 6-9
作者姓名:胡永祥  鲍苏苏
作者单位:华南师范大学计算机系,华南师范大学计算机系 广州510631 株洲工学院计算机系,株洲412008,广州510631
摘    要:本文在贝叶斯萎缩(BayesShrink)去噪方法的基础上,提出了一种改进的方法,称为邻域贝叶斯萎缩方法NBayes Shrink(Neighboring BayesShrink).在原方法中,每一小波子带仅有一个阈值.改进的方法对每一小波系数基于其邻域进行参数估计,为每一系数得到一个阈值.实验结果表明,该方法比原方法在PSNR与主观视觉效果上得到了明显的改善.

关 键 词:自适应方法  图像去噪  小波阈值
修稿时间:2004-02-25

Adaptive Wavelet Thresholding based on Neighboring for Image Denoising
HU Yong-xiang,BAO Su-su. Adaptive Wavelet Thresholding based on Neighboring for Image Denoising[J]. Modem Computer, 2004, 0(8): 6-9
Authors:HU Yong-xiang  BAO Su-su
Abstract:Based on BayesShrink, this paper proposes an improved approach, called neighboring BayesShrink(NBayes Shrink). Instead of a threshold each subband in the original method, the proposed method gets a threshold for every coefficient based on neighbor. Experiments show that the proposed method achieves much better performance both in PSNR and visual quality than original method.
Keywords:Adaptive Method  Image Denoise  Wavelet Threshold
本文献已被 CNKI 维普 万方数据 等数据库收录!
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