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基于小波变换的人体图像自适应滤波处理
Self-adaptive filtering processing of human body image based on wavelet transformation
【摘要】 根据人体图像的特点,采用中值滤波器与小波滤波器相结合对人体图像进行了自适应滤波.实验结果表明,采用自适应滤波器对人体图像滤波后,不但滤波效果较传统滤渡得以提高,而且对人体图像边缘也有良好的保护作用,提高了人体图像的信噪比,改善了图像质量,并为人体图像去噪提供了一种新方法.
【Abstract】 According to the peculiarity of human body image, the noise of the human body image is removed by using the self-adaptive median filtering combining with self-adaptive wavelet filtering. The results show that after human body image filter by self-adaptive filtering, not only the filter effect is better than the traditional filtering, but also prefects the human body image’s edge information. This filtering further increases the signal-to-noise ratio and improves the human body image’s quality, and also offers a new method for removing human body image’s
【关键词】 小波变换;
图像降噪;
人体图像;
中值滤波;
自适应滤波;
【Key words】 wavelet transform; image denoising; human body image; median filtering; self-adaptive filtering;
【Key words】 wavelet transform; image denoising; human body image; median filtering; self-adaptive filtering;
【基金】 河南省自然科学基金资助项目(004061000)
- 【文献出处】 天津工业大学学报 ,Journal of Tianjin Polytechnic University , 编辑部邮箱 ,2006年05期
- 【分类号】TS941.1
- 【被引频次】7
- 【下载频次】114