Share Email Print
cover

Proceedings Paper

A structure-based image similarity measure using homogeneity regions
Author(s): Eric P. Lam
Format Member Price Non-Member Price
PDF $14.40 $18.00

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: 22 April 2009
PDF: 11 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000O (22 April 2009); doi: 10.1117/12.816880
Show Author Affiliations
Eric P. Lam, Thales-Raytheon Systems Co. LLC (United States)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top