Abstract: The soft-thresholding to image's wavelet coefficient has better PSNR, and wavelet based on lifing is a new technology in its domain.This paper starts form lifting schema, and gets a series of wavelet with good ability by adding constraint to lifting schema, such as orthodoxy. Adaptively select wavelet parameter according to the signals quality. PSNR improves when people do soft-thresholding denoise by using these wavelet.

摘要： 信号经过小波分解后采用软阈值处理具有良好的降噪效果，提升结构是小波技术的新发展。从提升小波出发，通过引入正交性等约束条件得到了具有良好子带分解特性的一族小波；将这些小波应用到软阈值降噪处理中去，依据信号特性自适应的选择滤波器参数，可以明显地提高PSNR.

关键词: 提升小波, 图像消噪, 自适应

CLC Number: 

• TN911.7