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Proceedings Paper

An image similarity measure using homogeneity regions and structure
Author(s): Eric P. Lam; Kenny C. Loo
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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. It can be used to compare similarity between two-dimensional data. In many papers, the mean squared error (MSE) or peak signal to noise ratio (PSNR) are used. These measures rely on pixel intensities instead of image structure. 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: 28 January 2008
PDF: 9 pages
Proc. SPIE 6808, Image Quality and System Performance V, 680811 (28 January 2008); doi: 10.1117/12.767493
Show Author Affiliations
Eric P. Lam, Thales Raytheon Systems (United States)
Kenny C. Loo, Thales Raytheon Systems (United States)


Published in SPIE Proceedings Vol. 6808:
Image Quality and System Performance V
Susan P. Farnand; Frans Gaykema, Editor(s)

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