Image quality measure via a quadtree homogeneity analysis

Eric P. Lam

doi:10.1117/12.719077

25 April 2007 Image quality measure via a quadtree homogeneity analysis

Eric P. Lam

Proceedings Volume 6575, Visual Information Processing XVI; 65750R (2007) https://doi.org/10.1117/12.719077
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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. In many papers, the mean squared error (MSE) or peak signal to noise ratio (PSNR) are used. 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.

Citation Download Citation

Eric P. Lam "Image quality measure via a quadtree homogeneity analysis", Proc. SPIE 6575, Visual Information Processing XVI, 65750R (25 April 2007); https://doi.org/10.1117/12.719077

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