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Proceedings Paper

Image quality measure via a quadtree homogeneity analysis
Author(s): Eric P. Lam
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Paper Abstract

There are many uses of an image quality measure. It is often used to evaluate the effectiveness of an image processing algorithm, yet there is no one widely used objective measure. In many papers, the mean squared error (MSE) or peak signal to noise ratio (PSNR) are used. Though these measures are well understood and easy to implement, they do not correlate well with perceived image quality. This paper will present an image quality metric that analyzes image structure rather than entirely on pixels. It extracts image structure with the use of quadtree decomposition. A similarity comparison function based on contrast, luminance, and structure will be presented.

Paper Details

Date Published: 25 April 2007
PDF: 8 pages
Proc. SPIE 6575, Visual Information Processing XVI, 65750R (25 April 2007); doi: 10.1117/12.719077
Show Author Affiliations
Eric P. Lam, Thales Raytheon Systems (United States)


Published in SPIE Proceedings Vol. 6575:
Visual Information Processing XVI
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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