Multiscale contrast similarity deviation: An effective and efficient index for perceptual image quality assessment
T Wang, L Zhang, H Jia, B Li, H Shu - Signal Processing: Image …, 2016 - Elsevier
Perceptual image quality assessment (IQA) uses a computational model to assess the
image quality in a fashion consistent with human opinions. A good IQA model should
consider both the effectiveness and efficiency. To meet this need, a new model called
multiscale contrast similarity deviation (MCSD) is developed in this paper. Contrast is a
distinctive visual attribute closely related to the quality of an image. To further explore the
contrast features, we resort to the multiscale representation. Although the contrast and the …
image quality in a fashion consistent with human opinions. A good IQA model should
consider both the effectiveness and efficiency. To meet this need, a new model called
multiscale contrast similarity deviation (MCSD) is developed in this paper. Contrast is a
distinctive visual attribute closely related to the quality of an image. To further explore the
contrast features, we resort to the multiscale representation. Although the contrast and the …
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