摘要
A good objective metric of image quality assessment(IQA)should be consistent with the subjective judgment of human beings.In this paper,a four-stage perceptual approach for full reference IQA is presented.In the first stage,the visual features are extracted by 2-D Gabor filter that has the excellent performance of modeling the receptive fields of simple cells in the primary visual cortex.Then in the second stage,the extracted features are post-processed by the divisive normalization transform to reflect the nonlinear mechanisms in human visual systems.In the third stage,mutual information between the visual features of the reference and distorted images is employed to measure the visual quality.And in the last pooling stage,the mutual information is converted to the final objective quality score.Experimental results show that the proposed metic has a high correlation with the subjective assessment and outperforms other state-of-the-art metrics.
With ever-increasing miniaturization and prominence of micro- and nano-scale materials and systems for engineering, func- tional and biological applications, understanding of the mechanical and thermal behavior of the nano- and micro-scale mate- rials/systems becomes critical to the development of technologies. Issues concerning mechanical and thermal response and reliability pervade a wide range of areas, from bulk materials to thin films, from crystalline materials to amorphous materials,
