Document Type : Research Paper
Msc Student of Computer Engineering, Kharazmi University
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University
The aim of digital image quality assessment is to provide a model predicting the human judgments of viewing scenes. In this paper, a color image quality measure is presented in which a combination of three components including gradient magnitude, phase congruency and visual saliency is utilized for a better prediction. This combination is designed based on the fact that the human visual system extracts the low-level image features. The phase congruency and visual saliency provide robust and contrast invariant structural information of the viewing scene. On the other hand, gradient magnitude captures all changes including the local contrast. Combing these three features can enhance the assessment of local quality. In order to obtain a single measure, the visual saliency is employed in the pooling phase. The experimental results demonstrate that the proposed algorithm can effectively evaluate natural images quality in a consistent manner with the human visual perception.