Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

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 …

In this work, a new fuzzy logic-based algorithm is proposed for the enhancement of low light
color images. A generalization of a fuzzy set known as an intuitionistic fuzzy set (IFS) is used …

This paper presents contrast enhancement algorithms based on fuzzy contextual information
of the images. We introduce fuzzy similarity index and fuzzy contrast factor to capture the …

A new approach is presented for the enhancement of color images using the fuzzy logic
technique. An objective measure called exposure has been defined to provide an estimate …

A new fuzzy logic and histogram based algorithm for enhancing low contrast color images
has been proposed here. The method is computationally fast compared to conventional and …

Many statistical histogram-based methods perform intensity transformation on gray levels in
the statistical histogram. This may cause over-enhancement due to dominating portions of …

This work introduces a program to enhance images taken in low-light. Fuzzy set theory is
creating a significant shift in image processing. Interval-valued intuitionistic fuzzy sets (IVIFS) …

In this paper, a new interval-valued intuitionistic fuzzy-based algorithm is proposed to
enhance low-light images. In this proposed algorithm, the low-light image is first changed to …

In this paper, a highly adaptive swarm intelligence optimized dark image enhancement
approach is proposed for remotely sensed satellite images. Here, a weighted summation …