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In image / video systems, the contrast adjustment which manages to enhance the visual quality is nowadays an important research topic. Yet very limited efforts have been devoted to the exploration of image quality assessment (IQA) for contrast adjustment. To address the problem, this paper proposes a novel reduced-reference (RR) IQA metric with the integration of bottom-up and top-down strategies...
Visual saliency can be thought of as the product of human brain activity. Most existing models were built upon local features or global features or both. Lately, a so-called free energy principle unifies several brain theories within one framework, and tells where easily surprise human viewers in a visual stimulus through a psychological measure. We believe that this “surprise” should be highly related...
We propose a cloud based image contrast enhancement framework, in which the context-sensitive and context-free contrast is improved via solving a multi-criteria optimization problem. Specifically, the context-sensitive contrast enhancement is based on the unsharp masking of the input and edge-preserving filtered images, while the context-free contrast enhancement is achieved by the sigmoid transfer...
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