Saliency-Based Image Quality Assessment Criterion

Authors:
Qi Ma;Liming Zhang
Affiliations:
Department of Electronic Engineering, Fudan University, Shanghai, China 200433;Department of Electronic Engineering, Fudan University, Shanghai, China 200433
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

Image quality assessment (IQA) is a critical issue in image processing applications, but traditional criteria based on the differences between reference and distorted images do not correlate well with perceived quality. MSSIM and VIF criteria proposed recently are regarded as excellent models in comparison with others, but they only consider local features and ignore some global concepts. In this paper, we propose an improved method that adds global saliency features to the criteria of MSSIM and VIF. For the sake of reducing the computational complexity, we propose a simpler and faster method to extract the saliency map. Experimental results for a set of intuitive examples as well as validation on a database of 779 images with different distortion types demonstrate that the improved IQA criteria can get a better performance than their original forms.