Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

In the consumer electronics field, the main challenge in image processing is to preserve the
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …

Images of road scenes in low-light situations are lack of details which could increase crash
risk of connected autonomous vehicles (CAVs). Therefore, an effective and efficient image …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. Although many image enhancement techniques have been …

Medical imaging systems installed in different hospitals and labs generate images in bulk,
which could support medics to analyze infections or injuries. Manual inspection becomes …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. To solve this problem, many image enhancement techniques have …

This paper presents an optimization-based low-light image enhancement method using
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …

In this paper, a smart contrast enhancement technique based on conventional histogram
equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) …

This paper presents a novel Exposure based Sub-Image Histogram Equalization (ESIHE)
method for contrast enhancement for low exposure gray scale image. Exposure thresholds …

This paper proposes an algorithm that enhances the contrast of an input image using
interpixel contextual information. The algorithm uses a 2-D histogram of the input image …