Title :
A quality prediction model for JPEG2000-based color images
Author :
Li, Ling ; Wang, Zhensong
Author_Institution :
Inst. of Comput. Technol., Beijing
Abstract :
A quality prediction model is proposed for color images coded with JPEG2000. This model estimates the quality (PSNR) of a color image at a given compression ratio without coding. The image activity measure as the image feature and compression ratio are taken as the input of the model. Experimental results show that the prediction error is less than 1 dB for more than 75% images, and less than 2 dB for over 95% images. The computation of the prediction process is much lower than that of the compression and quality calculation.
Keywords :
data compression; image coding; image resolution; JPEG2000-based color images; image activity measure; image compression ratio; image feature; quality prediction model; Chromium; Color; Computers; Image coding; Image quality; Image reconstruction; PSNR; Predictive models; Transform coding; Videos; JPEG2000; Quality prediction; image activity measure;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959758
