A novel HVS based image contrast measurement index

Abstract

Image quality assessment based on HVS has become an important means to evaluate the degree of enhancement provided by contrast manipulation algorithms. In this paper a perceptual quality evaluation model using no-reference approach is proposed for estimation of contrast in digital images. The proposed index is formulated using the operators of LIP model for measurement of contrast using two rectangular windows around the centre pixel called foreground and background. It can be visualized from the experimental results that the proposed index is capable to assess the performance of different contrast manipulation algorithms in comparison to other methods. In addition, the results of subjective analysis show that the assessment is well correlated with known characteristics of HVS. © 2013 Springer.