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Quality Evaluation of Compressed Images Based on Prediction Errors of Pixel Values

Igor GavrilovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanKhabibullo NosirovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
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Abstract

The article considers metric objective quality assessment of compressed TV images based on the prediction error values of sums of pixels of the original and decoded images. The results of experimental results of processing test images by the proposed metric and mean squared error are given.

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