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 …

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 proposes an efficient method to modify histograms and enhance contrast in
digital images. Enhancement plays a significant role in digital image processing, computer …

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

Histogram equalization (HE) is one of the common methods used for improving contrast in
digital images. However, this technique is not very well suited to be implemented in …

Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …

In this paper, we investigate the problem of image contrast enhancement. Most existing
relevant technologies often suffer from the drawback of excessive enhancement, thereby …

This paper proposes a new histogram equalization method, called RSWHE (recursively
separated and weighted histogram equalization), for brightness preservation and image …

Many histogram equalization based methods have been introduced for the use in consumer
electronics in recent years. Yet, many of these methods are relatively complicated to be …