MICT Image Quality Evaluation Database

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MICT Image Quality Evaluation Database

Due to the advanced development of different image compression techniques and processing systems, there is a very big concern about the levels of image quality both for providers and users in many image processing applications from compression to printing. Obviously, digital images suffer a wide variety of distortion in these applications and perceptual quality of the images are degraded. Therefore, perceptual image quality measurement is an important problem. Consequently Subjective quality assessment is the most accurate method for quality evaluation because it reflects true human perception. Thus, the goal of all objective quality assessment research is to make quality predictions that are in agreement with subjective opinion of human observers.

Dataset Attributes

Label SVG
CategoriesDataset