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基于整形小波变换的辐射图像无损压缩研究
Study on lossless compression of radiant images using integer wavelet transform
【摘要】 60Co集装箱CT系统的"物性鉴别"特性要求只能采用无损压缩方法处理辐射图像。由于辐射图像的灰度范围广和统计涨落大等特点,常规无损熵编码法难以取得理想效果。据此引入整形小波变换对辐射图像进行压缩处理,取得了优于传统熵编码的压缩效果。
【Abstract】 In order to meet the request of "characteristics discrimination", it is necessary for the 60Co container CT system to compress radiant images by lossless method. But because of the wide gray-scale range and high statistical noise of radiant images, it is difficult to obtain effective compression rate by traditional entropy encoder. In this article, a novel transform method, integer wavelet transform, is introduced and a compression scheme for radiant images is put forward. The experimental results prove that the scheme is proved to be better than the entropy encoder.
【关键词】 60Co集装箱CT系统;
辐射图像;
无损压缩;
整形小波变换;
【Key words】 60Co container CT; radiant image; lossless compression; integer wavelet transform;
【Key words】 60Co container CT; radiant image; lossless compression; integer wavelet transform;
【基金】 国家"十五"重点攻关项目
- 【文献出处】 核电子学与探测技术 ,Nuclear Electronics & Detection Technology , 编辑部邮箱 ,2004年01期
- 【分类号】TN919.81
- 【被引频次】2
- 【下载频次】70