To achieve the better performance of image quality assessment,this paper develops an informationbased scheme.First,visual maps that contain visual information are extracted by non-tensor product wavelet filter banks a...To achieve the better performance of image quality assessment,this paper develops an informationbased scheme.First,visual maps that contain visual information are extracted by non-tensor product wavelet filter banks at different scales.Subsequently,to model visual difference(VD)caused by image degradations,the variation of information entropy between distorted and reference images is employed.Then the final visual quality is calculated with the VDs at each scale.In experiments,evaluation results show that it performs very well in terms of high accuracy of image quality measurement as well as low data rate.展开更多
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...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.展开更多
基金supported by the National Science & Technology Support Program (2013BAH03B01)Special Project on the Integration of Industry,Education and Research of Guangdong Province (2012A090300017)
文摘To achieve the better performance of image quality assessment,this paper develops an informationbased scheme.First,visual maps that contain visual information are extracted by non-tensor product wavelet filter banks at different scales.Subsequently,to model visual difference(VD)caused by image degradations,the variation of information entropy between distorted and reference images is employed.Then the final visual quality is calculated with the VDs at each scale.In experiments,evaluation results show that it performs very well in terms of high accuracy of image quality measurement as well as low data rate.
文摘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.
