Chapter 8.3 in Handbook of Image and Video Processing, second edition, Al Bovik, ed., Academic Press, June 2005

Structural Approaches to Image Quality Assessment

Zhou Wang¹ , Alan C. Bovik² and Eero P. Simoncelli¹

¹Laboratory for Computational Vision, New York University, New York, NY 10003

²Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin, Austin, TX 78712

PDF File (514K)

Abstract: This chapter introduces the basic ideas and algorithms of structural approaches for image quality assessment. We describe the concepts, the structural similarity index algorithm, as well as the image synthesis-based performance evaluation algorithm in the image space. We demonstrate that image distortions along different directions in the image space have different perceptual meanings. The structural approaches attempt to separate the directions associated with structural distortions from those with non-structured distortions. This separation gives a new coordinate system in the image space, which is not fixed as in traditional image decomposition frameworks (e.g., Fourier and wavelet types of transforms), but adapted to the underlying image structures.