The shifting of image mean brightness and the domination of high-frequency bins during
histogram equalization (HE) often result in the deteriorating quality of enhanced images and …

A new approach based on Bi-Histogram Equalization is presented to enhance grayscale
images. The proposed Adaptive Image Enhancement based on Bi-Histogram Equalization …

This paper puts forward a novel image enhancement method via Mean and Variance based
Subimage Histogram Equalization (MVSIHE), which effectively increases the contrast of the …

Image inpainting is a process of reconstructing missing regions, or removing unwanted
objects automatically by propagating intensity and texture information from surrounding …

In recent years, significant advancements in the field of machine learning have influenced
the domain of image restoration. While these technological advancements present …

Over the decades' researchers have studied the image inpainting problem intensively due to
its high significance and effectiveness in various image processing applications such as …

The present paper focuses on the contrast enhancement of an image using linear
regression-based recursive sub-histogram equalization. The histogram of an image is …

Filling damaged pixels in satellite images is a key task present in many Remote Sensing
applications. As a representative example of image restoration issue, we can refer to the …

A novel image enhancement approach called entropy‐based adaptive subhistogram
equalization (EASHE) is put forward in this paper. The proposed algorithm divides the …

Image inpainting is the process of restoring missing pixels in digital images in a plausible
way. A study on image inpainting technique has acquired a significant consideration in …