A measure for perceptual image quality assessment

This paper addresses the issue of perceptual image quality assessment in image restoration systems. Firstly, experiments are conducted to evaluate perceived quality in images degraded only by frequency distortion. Based on the resulting experimental data, a distortion quality measure (DQM) is proposed. Then another experiment, whose test images present frequency distortion and noise injection, is achieved. From this latter experiment, a composed quality measure (CQM) is developed to assess perceived quality of images degraded by combined effects of frequency distortion and noise injection. The CQM is derived from DQM and NQM (noise quality measure), this latter has been recently proposed, and it can be used as a tool for evaluation and optimization of image restoration systems according to human visual perception.