Shu-qing Chen

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A quality metric called sparse feature fidelity (SFF) is proposed for full-reference image quality assessment (IQA). It is inspired by the fact that images are transformed into sparse representations by the primary visual cortex which is the most important part of the human visual system (HVS). The proposed method is based on sparse features that are(More)
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