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Compression Quality Prediction Model for JPEG2000

文献类型：期刊论文

作者Li, Ling1,2; Wang, Zhen-Song3
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2010-02-01
卷号19期号:2页码:384-398
关键词Image activity measure (IAM) JPEG2000 quality prediction
ISSN号1057-7149
DOI10.1109/TIP.2009.2034706
英文摘要A compression quality prediction model is proposed for grey images coding with JPEG2000. With this model, the compression quality (PSNR) could be estimated according to the given compression ratio (CR) and the image activity measures (IAM) without coding images. The image activity measure is the weighted sum of the IAM values based on the 1-pixel-distance and 2-pixel-distance gradients along horizontal and vertical directions. We have shown that IAM is a function of the image variance and autocorrelation coefficients. Based on Shannon's rate-distortion theorem, a theoretical justification is provided for the correlation of IAM with PSNR. Experimental results show that the prediction error is lower than 1 dB for more than 70% sample images when CR is higher than 15. The prediction error is less than 2 dB for over 90% images. This prediction performance is acceptable for general applications.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000273708100009
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/12237]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Ling
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Ling,Wang, Zhen-Song. Compression Quality Prediction Model for JPEG2000[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2010,19(2):384-398.
APA Li, Ling,&Wang, Zhen-Song.(2010).Compression Quality Prediction Model for JPEG2000.IEEE TRANSACTIONS ON IMAGE PROCESSING,19(2),384-398.
MLA Li, Ling,et al."Compression Quality Prediction Model for JPEG2000".IEEE TRANSACTIONS ON IMAGE PROCESSING 19.2(2010):384-398.

入库方式： OAI收割

来源：计算技术研究所

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