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 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 …

Due to numerous hardware shortcomings, medical image acquisition devices are
susceptible to producing low-quality (ie, low contrast, inappropriate brightness, noisy, etc.) …

Medical image quality requirements have been increasingly stringent with the recent
developments of medical technology. To meet clinical diagnosis needs, an effective medical …

To improve the observability of low-light images, a low-light image enhancement algorithm
based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed …

Major issue in marine environment imaging is the expulsion of hazy scenes caused by
natural phenomena such as absorption and scattering in underwater images. The visual …

Contrast enhancement is a critical pre-processing stage for many image based applications.
It is frequently encountered that the illumination condition, while capturing the image, is …

Researchers have developed various contrast enhancement techniques to provide
perceptually good quality images for many vision‐based applications. An exposure‐based …

Histogram equalization (HE) is a well-established method for image contrast enhancement
due to its simplicity and effectiveness. However, it suffers from three main shortcomings, ie …