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Recent work on the problem of Image Quality Assessment (IQA) has produced accurate subjective quality evaluators for visible light images. Two such algorithms are the Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE) and the Natural Image Quality Evaluator (NIQE). Both models are useful in that they correlate highly with human visual perception of image quality. Given that other kinds...
We develop a robust framework for natural scene statistic (NSS) model based blind image quality assessment (IQA). The robustified IQA model utilizes a robust statistics approach based on L-moments. Such robust statistics based approaches are effective when natural or distorted images deviate from assumed statistical models, and achieves better prediction performance on distorted images relative to...
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