【摘要】 针对噪声图像增强提出基于小波域的软阈值算法.基于信号和噪声在小波变换现具有不同的传播特性,图像经二维小波变换后得不同尺度的子带图像,在不同尺度的子带图像以软阈值算法进行增强,最后进行小波重构得到增强图像.实验表明,与传统算法相比本文算法在细节增强和噪声抑制上取得较好效果.更多还原

【Abstract】 <Abstrcat> A method of removing noise wavelet image enhancement based on soft threshold is proposed. Noise reduction is based on the different propagation property between unevenly distributed signals and noise under the wavelet transform. The DWT decomposes an image into a set of different scale smaller images, then detail coefficients are enhanced based on the soft threshold, prior to obtaining the inverse transform. Finally, experimental results show that the method is superior to the primary one and it can effectively enhance image details and preserve image edge.更多还原