A Detail Based Method for Linear Full Reference Image Quality Prediction

10 Sep 2017Elio D. Di ClaudioGiovanni Jacovitti

In this paper, a novel Full Reference method is proposed for image quality assessment, using the combination of two separate metrics to measure the perceptually distinct impact of detail losses and of spurious details. To this purpose, the gradient of the impaired image is locally decomposed as a predicted version of the original gradient, plus a gradient residual... (read more)

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