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Proceedings Paper

An image similarity metric based on quadtree homogeneity analysis
Author(s): Eric P. Lam; Thai N Luong; Mark P. Miller; Francis Tom
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Paper Abstract

Comparing two similar images is often needed to evaluate the effectiveness of an image processing algorithm. But, 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. These measures rely entirely on pixel intensities. 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 a recursive quadtree decomposition. A similarity comparison function based on contrast, luminance, and structure will be presented.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7242, Image Quality and System Performance VI, 72420R (19 January 2009); doi: 10.1117/12.806011
Show Author Affiliations
Eric P. Lam, Thales Raytheon Systems (United States)
Thai N Luong, Thales Raytheon Systems (United States)
Mark P. Miller, Thales Raytheon Systems (United States)
Francis Tom, Thales Raytheon Systems (United States)

Published in SPIE Proceedings Vol. 7242:
Image Quality and System Performance VI
Susan P. Farnand; Frans Gaykema, Editor(s)

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