重庆理工大学学报（自然科学版）2013，Vol.27Issue(2)：93-95,125,4.DOI:10.3969/j.issn.1674-8425(z).2013.02.018
基于改进小波阈值函数的图像去噪
Image De-noising Based on Improved Wavelet Threshold Function
摘要
Abstract
The traditional threshold functions have some deficiencies in image de-noising. Hard threshold function is discontinuous and soft threshold function will cause constant deviation. In view of this situation, it improves the threshold selection method and the traditional threshold function based on the multi-analysis wavelet transform. The simulation results show that this method is better than the traditional hard and soft threshold de-nosing methods in the PSNR and subjective visual effects.关键词
阈值函数/小波变换/图像去噪/峰值信噪比Key words
threshold function/ wavelet transform/ image de-nosing/ peak signal-to-noise ratio分类
计算机与自动化引用本文复制引用
杨立..基于改进小波阈值函数的图像去噪[J].重庆理工大学学报（自然科学版）,2013,27(2):93-95,125,4.基金项目
2011年运城学院院级项目(YQ-2011076) （YQ-2011076）
