摘要
为了解决医学图像压缩的图像高质量和高压缩比的矛盾问题,基于视觉注意机制的理论,提出了一种近无损压缩和有损压缩相结合的医学图像压缩方法:对具有医学诊断价值的病灶区域进行低压缩比的近无损压缩,而对没有诊断价值的非病灶区域进行高压缩比的有损压缩。实验结果表明,该方法有效地实现了对病灶区域和非病灶区域的分别压缩,相对于无损压缩不仅提高了图像整体的压缩比,同时又保证了病灶区域的诊断价值。
To solve the problem of the contradiction between high quality and high compression ratio of medical image compression, a medical image compression method combining near-lossless compression and lossy compression is proposed based on the theory of visual attention mechanisms： compress the lesion areas that have medical diagnostic value with low compression ratio near-lossless compression, and compress the non-lesion areas that have no medical diagnostic value with high compression ratio lossy compression. The results show that this method can effectively achieve compressing lesion areas and non-lesion areas respectively, then it could improve the compression ratio of the image relative to lossless compression, as well as gnaranteeing the diagnostic value of the lesion areas.
出处
《中国数字医学》
2013年第7期74-77,86,共5页
China Digital Medicine
基金
十一五国家科技支撑计划项目(编号:2010BAI88B00)~~
关键词
视觉注意
小波变换
整数小波变换
近无损压缩
有损压缩
visual attention, wavelet transform, integer wavelet transform, near-lossless compression, lossy compression
