A structure-based image similarity measure using homogeneity regions

Eric P. Lam

doi:10.1117/12.816880

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22 April 2009 A structure-based image similarity measure using homogeneity regions

Eric P. Lam

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Proceedings Volume 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX; 73000O (2009) https://doi.org/10.1117/12.816880
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

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Eric P. Lam "A structure-based image similarity measure using homogeneity regions", Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000O (22 April 2009); doi: 10.1117/12.816880; https://doi.org/10.1117/12.816880

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