摘要
硬阈值函数用于图像去噪处理时重构的信号会产生震荡,而软阈值函数用于图像去噪处理又会造成边缘模糊现象,本文引入参数α将软硬阈值函数相结合,提出一种新的阈值函数,并将该算法应用于静态图像去噪处理中.结果表明,该算法不仅能有效的改善图像信噪比,而且能使信号的边缘保持较高的分辨率,是一种有效地图像去噪方法,具有一定的实用价值.
When the hard threshold function is applied into the image denoising, the re-created signal will produce shock, but the soft threshold function will also result in edge-blur. In order to resolve the problem, this paper uses the α parameter to integrate these two functions, puts forward a new threshold function and puts the algorithm to disposing static image denoising. The result proves that this algorithm can not only improve the ratio of signal and noise but also make the edge of signal keep high resolution. Therefore, the algorithm is an effect method of image denoising and has practical value.
出处
《西安工业大学学报》
CAS
2007年第6期567-569,582,共4页
Journal of Xi’an Technological University
关键词
小波变换
噪声
多分辨率分析
图像处理
wavelet transform
noises
multiresolution analysis （MRA）
digital image processing
