A structured-based image similarity measure using homogeneity regions

Eric P. Lam

doi:10.1117/12.775019

25 March 2008 A structured-based image similarity measure using homogeneity regions

Eric P. Lam

Proceedings Volume 6978, Visual Information Processing XVII; 69780E (2008) https://doi.org/10.1117/12.775019
Event: SPIE Defense and Security Symposium, 2008, 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 correlated 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.

Citation Download Citation

Eric P. Lam "A structured-based image similarity measure using homogeneity regions", Proc. SPIE 6978, Visual Information Processing XVII, 69780E (25 March 2008); https://doi.org/10.1117/12.775019

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