Contrast enhancement of low-light image using histogram equalization and illumination adjustment

Low-light image contains compressed dynamic range that can be enhanced for knowing detail information. Contrast enhancement of low-light image is a challenging task in image processing field. In this paper, we enhance the different type of low-light image by using histogram equalization (HE) and illumination adjustment. We present a method to detect different types of low-light images. Then, we apply the HE on V channel of input low-light image after converting the color space from RGB to HSV. After that, we enhance the contrast of V by adjusting intensity (V) of low-light image with adopting gamma correction. We evaluate our low-light enhanced method by naturalness image quality evaluator (NIQE) and colorfulness-based patch-based contrast quality index (CPCQI) and also compare our proposed method with typical HE method by measuring quality of images.