A new quality metric for compressed images based on DDCT
Wen Bing Lu, Jing Li, Dacheng Tao, Xinbo Gao, Xuelong Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
As the performance-indicator of the image processing algorithms or systems, image quality assessment (IQA) has attracted the attention of many researchers. Aiming to the widely used compression standards, JPEG and JPEG2000, we propose a new no reference (NR) metric for compressed images to do IQA. This metric exploits the causes of distortion by JPEG and JPEG2000, employs the directional discrete cosine transform (DDCT) to obtain the detail and direction information of the images and incorporates with the visual perception to obtain the image quality index. Experimental results show that the proposed metric not only has outstanding performance on JPEG and JPEG2000 images, but also applicable to other types of artifacts.