Image contrast and color preservations are essential needs for color vision and the
processing of digital color images. Histogram Equalization (HE) is mostly used for …

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 …

To address the problem that the retinex algorithm cannot effectively enhance color and
detail simultaneously, we propose a retinex-based laplacian pyramid method for image …

Low light often degrades the quality of an image, which in turn affects the computer vision
algorithm's performance. The development of image enhancement algorithms improves the …

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

In this paper, a new adaptive thresholding based sub-histogram equalization (ATSHE)
scheme is proposed for contrast enhancement and brightness preservation with retention of …

Medical pictures play a vital role in novel diagnosis; to achieve this, the quality of these
images must be improved in a way that meets the necessary standards. To deal with this …

A novel image quality enhancement framework is proposed here through a collective
inspiration of the exponential, differential and linear operational behavior of pixel intensities …

To solve the problem that traditional dark channel is not suitable for a large sky area and can
easyily distort defogged images, we propose a novel fusion-based defogging algorithm …

Imaging of unmanned aerial vehicle easily suffer from haze, resulting in decline in the
quality of required remote sensing images. The influence brings great challenges in later …