Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

TLDR

Enhancement is crucial in digital image processing, computer vision, and pattern recognition. The paper proposes an efficient, automatic gamma‑correction technique that modifies histograms to enhance contrast and brighten dimmed images. The method adapts gamma correction weighted by luminance distribution and uses temporal differences between frames to reduce computational complexity. Experiments show the method produces images of comparable or higher quality than previous state‑of‑the‑art techniques.

Abstract

This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. To enhance video, the proposed image-enhancement method uses temporal information regarding the differences between each frame to reduce computational complexity. Experimental results demonstrate that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.