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