A new quality metric for compressed images based on DDCT

Wen Lu; Jing Li; Dacheng Tao; Xinbo Gao; Xuelong Li

doi:10.1117/12.862432

14 July 2010 A new quality metric for compressed images based on DDCT

Wen Lu, Jing Li, Dacheng Tao, Xinbo Gao, Xuelong Li

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77440C (2010) https://doi.org/10.1117/12.862432
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

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.

Citation Download Citation

Wen Lu, Jing Li, Dacheng Tao, Xinbo Gao, and Xuelong Li "A new quality metric for compressed images based on DDCT", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440C (14 July 2010); https://doi.org/10.1117/12.862432

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