Technical Program

Paper Detail

Session:Image and Video Coding and Quality
Time:Friday, May 21, 15:30 - 17:30
Presentation: Poster
Topic: Image and Multidimensional Signal Processing: Image Quality
Authors: Hamid Sheikh; University of Texas, Austin 
 Alan Bovik; University of Texas, Austin 
Abstract: Measurement of image quality is crucial for many image-processingalgorithms. Traditionally, image quality assessment algorithmspredict visual quality by comparing a distorted image against areference image, typically by modelling the Human Visual System(HVS), or by using arbitrary signal fidelity criteria. In thispaper we adopt a new paradigm for image quality assessment. Wepropose an information fidelity criterion that quantifies theShannon information that is shared between the reference and thedistorted images relative to the information contained in thereference image itself. We use Natural Scene Statistics (NSS)modelling in concert with an image degradation model and an HVSmodel. We demonstrate the performance of our algorithm by testingit on a data set of 779 images, and show that our method iscompetitive with state of the art quality assessment methods, andoutperforms them in our simulations.

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