QAC Index with pre-learned quality aware clusters for blind image quality assessment

global MATLAB — Mon, 07 May 2018 13:53:09 +0000

INPUT : im: 0~255 8bit grayscalae image; cluster_center: a cell array with structure for the quality aware cluster center; cluster_center[l] is the cluster centers at the lth quality level, and it has the following domain: centroids: [Kxd double], […]

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Blind Image Quality Prediction Using Joint Statistics of Gradient Magnitude and Laplacian Features

global MATLAB — Mon, 16 Apr 2018 06:28:55 +0000

Existing BIQA models typically decompose an image into different frequency and orientation bands, and then extract statistical features from the decomposed coefficients to learn a quality prediction model. However, few BIQA models explicitly exploit simple image contrast features such as the gradient magnitude (GM) and Laplacian of Gaussian (LOG) responses, although LOG responses share similarities to human receptive field responses. Here we […]

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QAC Index with pre-learned quality aware clusters for blind image quality assessment

Blind Image Quality Prediction Using Joint Statistics of Gradient Magnitude and Laplacian Features