基于JPEG2000的感兴趣区域压缩编码算法  

Image compression coding algorithm of ROI based on JPEG2000

作　　者：袁建亮[1] 朱远平[1] 

机构地区：[1]天津师范大学计算机与信息工程学院,天津300387

出　　处：《天津师范大学学报（自然科学版）》2014年第1期42-46,61,共6页Journal of Tianjin Normal University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61203259);天津师范大学引进人才基金资助项目(5RL112)

摘　　要：提出一种基于JPEG2000感兴趣区域的图像压缩方法.该方法首先提取出感兴趣区域;然后为达到重要信息不丢失的前提下增大压缩率的目的,对不同区域采用不同压缩率,即对感兴趣区域进行低倍率有损压缩,对背景区域进行高倍率有损压缩;最后通过计算均方误差(mean squared error,MSE)和峰值信噪比(peak signal to noise ratio,PSNR),对该方法进行客观评价.实验结果表明:基于ROI的压缩方法的性能优于一般压缩方法,在获得更高压缩率的前提下,压缩重构图像保持了较高的峰值信噪比,较好地解决了压缩率和图像质量之间的矛盾.An image compression method of the interest region based on JPEG2000 was designed. Firstly, the regions of interest（ROI） were extracted, and then the different regions were compressed using different compression rates that low compression rate was used for regions of interest and high compression rate was used for the background in order to reach the goal of increasing compression ratio without losing important information; finally, the method were objectively evaluat- ed using mean squared error （MSE） and peak signal to noise ratio （PSNR）. Experimental results show that the quality of image compression method based on regions of interest is better than the general compression method. Under the premise of getting a higher compression ratio, the reconstructed compressed image maintains higher peak signal to noise ratio （PSNR）, so the method solves the contradiction problem between the comoression ratio and the imaze oualitv.

关 键 词：图像压缩 JPEG2000 EBCOT算法 小波变换 感兴趣区域编码 峰值信噪比 均方误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]