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Image quality measurement based on statistics of activity regions

Abstract Image restoration is a well‐known technique for dealing with images that have been recorded in the presence of one or more sources of degradation. However, why do we want to perform image restoration upon a given image? Who can tell us the image quality is good or needs to be processed? In this paper, based on the activity regions of a gray image, we present an approach to performing both objective and subjective evaluations for measuring image quality. Four versions of an image are transformed, and the results obtained by the proposed approach are used for comparisons and discussions. Experiments show that the proposed approach is feasible for reporting the image quality.