Spatial Features Based No Reference Image Quality Assessment for JPEG2000

Perceptual image quality evaluation has become an important issue due to increasing transmission of multimedia contents over the Internet and 3G mobile networks. Most of the no reference perceptual image quality evaluations traditionally attempted to quantify the predefined artifacts of the coded images. Under the assumption that human visual perception is very sensitive to edge information of an image and any kinds of artifacts create pixel distortion, we propose a new philosophy for designing a no reference image quality evaluation model for JPEG2000 images, which uses pixel distortions and edge information. Subjective experiment results on the images are used to train and test the model, which achieve good quality prediction performance.