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Proceedings Paper

A new quality metric for compressed images based on DDCT
Author(s): Wen Lu; Jing Li; Dacheng Tao; Xinbo Gao; Xuelong Li
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Paper 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.

Paper Details

Date Published: 14 July 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440C (14 July 2010); doi: 10.1117/12.862432
Show Author Affiliations
Wen Lu, Xidian Univ. (China)
Jing Li, Xidian Univ. (China)
Dacheng Tao, Nanyang Technological Univ. (Singapore)
Xinbo Gao, Xidian Univ. (China)
Xuelong Li, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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