the complexity of an image tells many aspects of the image content and is an important factor in the selection of source material for testing various image processing methods. Databases of pictures or videos explained with subjective evaluations constitute basic ground truth for preparing, testing, what's more, benchmarking calculations for target quality appraisal. We propose a few criteria for quantitative correlations of source substance, test conditions, and subjective evaluations, which are utilized as the reason for the resulting investigations and dialog. This paper presents various metrics used for image and video complexity analysis. For this we have utilized image and video compression method
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