Local homogeneity combined with DCT statistics to blind noisy image quality assessment

Lingxian Yang; Li Chen; Heping Chen

doi:10.1117/12.2178785

4 March 2015 Local homogeneity combined with DCT statistics to blind noisy image quality assessment

Lingxian Yang, Li Chen, Heping Chen

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944312 (2015) https://doi.org/10.1117/12.2178785
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

In this paper a novel method for blind noisy image quality assessment is proposed. First, it is believed that human visual system (HVS) is more sensitive to the local smoothness area in a noise image, an adaptively local homogeneous block selection algorithm is proposed to construct a new homogeneous image named as homogeneity blocks (HB) based on computing each pixel characteristic. Second, applying the discrete cosine transform (DCT) for each HB and using high frequency component to evaluate image noise level. Finally, a modified peak signal to noise ratio (MPSNR) image quality assessment approach is proposed based on analysis DCT kurtosis distributions change and noise level above-mentioned. Simulations show that the quality scores that produced from the proposed algorithm are well correlated with the human perception of quality and also have a stability performance.

Citation Download Citation

Lingxian Yang, Li Chen, and Heping Chen "Local homogeneity combined with DCT statistics to blind noisy image quality assessment ", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944312 (4 March 2015); https://doi.org/10.1117/12.2178785

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