关键词: 二树复数小波变换, H-Curve准则, 噪声标准偏差, 去噪

Abstract:

According to more merits in some aspects over real wavelet transform such as shift invariability, more directions and precise information in phase space,complex wavelet transform can improve the ability to image denosing.In this paper combined with H-Curve criterion Dual-Tree complex wavelet transform was applied to image denosing. The H-Curve criterion does not need know the noise standard deviation firstly,and it can dispose many kinds of noise practically and produce a better effect in vision over smooth image brought up by many methods presently. The typical denosing test shows that the method produces a better effect over multitudinous methods presently in many aspects such as the ability to denosing, the effect in vision and universality in choosing a threshold.

Key words: dual-tree complex wavelet transform, H-Curve criterion, noise standard deviation, denoising