Brightness and Contrast Enhancement Method for Color Images Via Pairing Adaptive Gamma Correction and Histogram Equalization

For enhanced adaptability to poor light enhancement whilst achieving high image contrast, a new method for color correction based on the advantages of non-linear function in grey transformation and histogram equalization techniques is proposed this work. Firstly, original red, green blue (RGB) converted into HSV space, V channel used enhancement. An adaptive gamma generator adaptively calculate parameters accordance with dark, medium, or bright conditions. The computed are propose cumulative distribution that produces an optimized curve illumination values. Next, second modified performed evenly correct offset values basis equal probability available only. Finally, processed replaces channel, model returns RGB space. Experiments show can significantly improve low contrast preserving details image. Results from benchmark data sets measurements indicate outperforms other state-of-the-art methods.