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Proceedings Paper

An image enhancement effect objective assessment method based on visual information fidelity
Author(s): Xiusheng Liu; Hongsheng Yu; Yanqing Dai
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Paper Abstract

Assessment of image visual quality is of fundamental importance to numerous image and video processing applications. Visual information fidelity is a novel criterion that is based on modeling of natural scene statistics, image distortion and the human visual distortion. Traditionally, image QA algorithms interpret image quality as fidelity or similarity with a "reference" or "perfect" image. We apply the VIF method on image enhancement effect which takes distorted image as "reference" image instead of "perfect" image to assess the quality of enhanced image. It provides clear advantages over the traditional approaches because VIF index is combined with HVS features under certain conditions. In particular, it can be measured only rely on the original image and enhanced image. We validate the performance of our method with an extensive subjective study to show that it outperforms current methods in our testing.

Paper Details

Date Published: 9 November 2010
PDF: 10 pages
Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78501O (9 November 2010); doi: 10.1117/12.869985
Show Author Affiliations
Xiusheng Liu, Huangshi Institute of Technology (China)
Hongsheng Yu, Huangshi Institute of Technology (China)
Yanqing Dai, Huangshi Institute of Technology (China)

Published in SPIE Proceedings Vol. 7850:
Optoelectronic Imaging and Multimedia Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng; Tsutomu Shimura, Editor(s)

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