Efficient Models for Objective Video Quality Assessment

Abstract

Two models for objective assessment of compressed video quality andresults from subjective and objective tests of several low bit-ratevideo coders are introduced in this paper. First model is based onmathematical measures that describe perception of video distortion byhuman eye. Second model for quality evaluation is based on human visualsystem (HVS) characteristics. Obtained quality values from both modelshave been compared with subjective results. Both models arecomputationally efficient and produce results that are correlated withsubjective results.