摘要
边缘信息是影像最重要的高频信息,在去除噪声的同时应尽量保留。介绍一种改进的小波去噪方法,不仅大大减少了算法的时间复杂度,而且用Wallis滤波对小波变换后的小波系数进行处理,在进一步压制噪声的同时增强了影像的对比度。实验结果表明,该方法不仅效率高,而且能较好地突出细节信号,效果优于普通的小波阈值去噪。
Edge information is important to an image and should be saved as much as possible. This paper introduces a novel wavelet denoising method .After being improved, it uses wallis filter to deal with wavelet coefficients to suppress noise and enhance contrast. Result shows that this novel method is better than common wavelet denoising method.
出处
《地理空间信息》
2006年第6期55-56,共2页
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