关键词: 小波包分解, 纹理图像, 去噪, 范数

Abstract:

Noise greatly affects the post-processing of images. General denoising methods can remove the noise of images with gentle change,but have a poor effectiveness on the denoising of texture images with many details.In this paper,according to the different characteristics that signal and noise exhibit during the wavelet decomposition,a novel denoising algorithm based on the wavelet packet decomposition is presented.In this algorithm,texture ima-sub-band are obtained.Thus,signals and noise can be discriminated based on the norms,and the texture images can be denoised.Experimental resuits indicate that the proposed algorithm is of excellent performance in denoising leather images,and can remove most noise of texture images with well-kept texture inform ation.

Key words: wavelet packet decomposition, texture image, denoising, norm