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A novel general-purpose no-reference image quality assessment (NR-IQA) model utilising hybrid natural scene statistics (HNSS) is proposed. Distinguished from existing NR-IQA approaches, the new model combines the statistics of locally mean subtracted and contrast normalised coefficients in the spatial domain and the statistics of image patch coefficients in a codebook space, which is constructed by...
People count is an important indicator in video surveillance. Due to the overlapping objects and cluttered background, counting people accurately in actual crowded scene remains a non-trivial problem. Existing regression-based methods either learn a single model mapping the global feature to people count, or estimate localized count by training a large number of regressors. In this paper, we present...
It is an indispensable step to faithfully evaluate and control the perceptual quality of digital visual applications such as image compression, image restoration and multimedia streaming. In this paper, we propose an efficient and effective twostep framework named First No-reference Then Full-reference (FNTF), to evaluate different kinds of noise, and distinguish the quality of distorted image, using...
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