基于相对多重分形谱的感兴趣区域图像压缩  

Image compression for region of interest based on relative multifractal spectrum

作　　者：李会方[1] 徐瑞萍[1] 庞文俊[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072

出　　处：《计算机应用》2005年第12期2840-2842,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(1027406030470459)

摘　　要：提出了一种基于相对多重分形谱的图像质量评价准则,给出了基于此准则的感兴趣区域检测算法。在此基础上,研究了基于相对多重分形谱评价准则的感兴趣区域图像编码技术。将感兴趣区域定义为图像中纹理变化相对比较复杂的区域。在这一定义下,给出了计算小波域感兴趣区域掩模的新算法。最后,在编码过程中提出了一种感兴趣区域编码优先的复合EZW算法。实验结果证明了该算法的有效性。The conception of the relative multifractal spectrum was introduced. Uscing the relative multiffactal spectrum, a new objective measure of image quality corresponding to the human visual impression was developed. An approach to identify regions of complexity disparity, as Region of Interest（ROI）, in an image was presented based on the relative multifractal spectrum objective measure. A study of the effect of enhancing regions has been implemented. Later, a wavelet packet scheme of image compression through embedded zerotree coding, the region of ~nterest coding and adaptive arithmetic coding is constructed. This technology solves the difference between the image quality and the compress rate. The experiment results reveal that the image quality of the regions of interest are better than those by the original embedded zertree algorithm and JPEG.

关 键 词：相对多重分形谱 感兴趣区域 图像压缩 小波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]