DocumentCode :
1991059
Title :
Estimating relative objective quality among images compressed from the same original
Author :
Yang, Gao ; Wang, Ci ; Tan, Yap-Peng
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Nanyang, China
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
1239
Lastpage :
1242
Abstract :
This paper presents a new method for estimating the relative compression distortion among images encoded from the same original. Increasingly, many compressed versions of the same image are available over the Internet, but users may not have access to the original to measure their objective quality. We propose to cross-check each image against the quantization constraints of another version and obtain a conservative estimation of the difference in mean squared error (ΔMSE), indicating the relative objective quality between these images. Our proposed method is able to judge the relative quality correctly among compressed images with PSNR difference of as little as 0.5 dB, and it is applicable to images in mixed compression formats, such as JPEG and JPEG2000.
Keywords :
data compression; distortion; image coding; Internet; JPEG2000; PSNR difference; compressed images; conservative estimation; image coding; image compression; quantization constraints; relative compression distortion; relative objective quality estimation; Discrete cosine transforms; Image coding; Image reconstruction; PSNR; Quantization; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
Conference_Location :
Rio de Janeiro
ISSN :
0271-4302
Print_ISBN :
978-1-4244-9473-6
Electronic_ISBN :
0271-4302
Type :
conf
DOI :
10.1109/ISCAS.2011.5937794
Filename :
5937794
Link To Document :
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