ICIP 2006, Atlanta, GA

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Atlanta Conv. & Vis. Bureau


Technical Program

Paper Detail

Session:Image Quality Assessment
Time:Wednesday, October 11, 16:00 - 16:20
Presentation: Lecture
Authors: Zhou Wang; University of Texas at Arlington 
 Xinli Shang; University of Texas at Arlington 
Abstract: Many recently proposed perceptual image quality assessment algorithms are implemented in two stages. In the first stage, image quality is evaluated within local regions. This results in a quality/distortion map over the image space. In the second stage, a spatial pooling algorithm is employed that combines the quality/distortion map into a single quality score. While great effort has been devoted to developing algorithms for the first stage, little has been done to find the best strategies for the second stage (and simple spatial average is often used). In this work, we investigate three spatial pooling methods for the second stage: Minkowski pooling, local quality/distortion-weighted pooling, and information content-weighted pooling. Extensive experiments with the LIVE database show that all three methods may improve the prediction performance of perceptual image quality measures, but the third method demonstrates the best potential to be a general and robust method that leads to consistent improvement over a wide range of image distortion types.