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《Journal of Tianjin Normal University(Natural Science Edition)》 2014-01
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Image compression coding algorithm of ROI based on JPEG2000

YUAN Jianliang;ZHU Yuanping;College of Computer and Information Engineering,Tianjin Normal University;  
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 evaluated 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 compression ratio and the image quality.
【Fund】: 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)
【CateGory Index】: TP391.41
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