Abstract
Image enhancement is one of the most important techniques in digital image processing field. Traditional global histogram equalization usually causes excessive contrast enhancement while local histogram equalization may cause block effect. So a new image enhancement technique based on human visual properties is proposed which improves contrast and edges in an image as well as keeps the noise level lower.
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