关键词: 平稳小波变换, 模极大值, 萎缩, 消噪, 清晰度

Abstract: This paper proposes using wavelet modulus maxima de-noising method. Image containing noise is took discrete stationary wavelet transform, the noise standard deviation is estimated, changes in the form of Bayes-shrink threshold, and gets de-noising threshold formula. The paper judges the wavelet coefficients modulus maxima generated by the edge image in each scale wavelet coefficients of each sub-band, uses the adaptive multi-threshold to atrophy wavelet coefficients for non-image edge in each wavelet sub-band of all different scales. The stationary wavelet inverse transform of the image is performed after de-noising. Experimental results show that the proposed de-noising method has better effect.

Key words: stationary wavelet transform, modulus maxima, shrink, de-noising, sharpness