Journal of Real-Time Image Processing

, Volume 6, Issue 4, pp 281–287

Fast structural similarity index algorithm

Original Research Paper

DOI: 10.1007/s11554-010-0170-9

Cite this article as:
Chen, MJ. & Bovik, A.C. J Real-Time Image Proc (2011) 6: 281. doi:10.1007/s11554-010-0170-9


The development of real-time image and video quality assessment algorithms is an important direction on which little research has focused. Towards this end, we present a design of real-time implementable full-reference image/video quality algorithms that are based on the Structural SIMilarity (SSIM) index and multi-scale SSIM (MS-SSIM) index. The proposed algorithms, which modify SSIM/MS-SSIM to achieve speed of execution, were tested on the LIVE Image Quality Database and LIVE Video Quality Database. The experimental results show that the performance of the new, fast algorithms is commensurate with that of SSIM and MS-SSIM, but with much lower computational complexity. Indeed, the proposed Fast MS-SSIM algorithm is 10 times faster (lower complexity) than the MS-SSIM algorithm, while the proposed Fast SSIM is 2.68 times faster than SSIM without parallel computing optimization.


Real timeVideo quality assessmentSSIMImage quality assessmentLow complexity algorithm

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.Laboratory for Image and Video Engineering (LIVE)The University of TexasAustinUSA