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出 处:《光电技术应用》2012年第5期60-63,76,共5页Electro-Optic Technology Application
摘 要:针对图像获取中易受到噪声干扰的问题,介绍了图像去噪处理的几种常用算法(邻域平均法、中值滤波法、图像间的平均滤波),对比阐述了各自的优缺点及适用范围。提出了一种基于平滑滤波的小波阈值图像去噪算法,该算法采用中值滤波和小波阈值相结合的方式对图像进行平滑处理。实验结果表明,该方法不仅有利于图像噪声的去除,而且边缘信息也得到了较好的保留,使图像具有更好的视觉效果,还原出图像的本来面目。In view of the problem that image acquisition process is susceptible to noise interference,several common algorithms of image noise reduction process such as neighborhood averaging method,median filtering method and averages filtering between images are introduced.The advantages,disadvantages and application ar eas of these are described separately.An image noise reduction algorithm of wavelet threshold based on smooth filtering is proposed.In this method,median filtering method and wavelet threshold method are combined to per form smoothing image process.The experiment results show that this method is not only of advantage to image algorithms,but also to reserve the edge information,which improves the visual effect of images and restores the primary images as well.
分 类 号:TN911.73[电子电信—通信与信息系统]
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