%0 Journal Article %T New Method of Image De-noising through Wavelet Shrinkage Based on Estimate of Noise Variance
基于噪声方差估计的小波阈值图像去噪新方法 %A LI Shu-xia %A WANG Ru-lin %A LI Chun-mei %A XU Liang %A LI Guo-xin %A
李淑霞 %A 王汝霖 %A 李春梅 %A 许亮 %A 李国新 %J 计算机应用研究 %D 2007 %I %X Many image de-noising methods through wavelet shrinkage compute the shrinkage according to the relevant noise variance,so the estimate of the noise variance can directly influence the effect of the image de-noising.In this paper,a new method of computing shrinkage is proposed based on the two common methods of estimating noise variance in wavelet domain,experiments show that this method is effective to image de-noising,not only it improves the PSNR(Peak Signal-to-Noise Rate),but also decreases the operational time. %K Wavelet Transform %K Noise Variance %K Shrinkage %K Image De-noising
小波变换 %K 噪声方差 %K 阈值 %K 图像去噪 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=343459AF1736CA690929FB8CCB4812B2&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=CA4FD0336C81A37A&sid=1D67BE204FBF4800&eid=78F0EFE028BD3783&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=5&reference_num=9