Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …

We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …

Image quality assessment (IQA) models aim to establish a quantitative relationship between
visual images and their quality as perceived by human observers. IQA modeling plays a …

Image quality assessment (IQA) algorithms aim to predict perceived image quality by human
observers. Over the last two decades, a large amount of work has been carried out in the …

No-reference image quality assessment (NR-IQA) aims to measure the image quality without
reference image. However, contrast distortion has been overlooked in the current research …

This paper shows how to convert a color image to grayscale using convolutional neural
network (CNN), that preserves visual contrast via gradient domain modeling. We propose to …

In this letter, a novel decolorization method is proposed to convert color images into
grayscale. The proposed method, called CorrC2G, estimates the three global linear …

Sonar imagery plays a significant role in oceanic applications since there is little natural light
underwater, and light is irrelevant to sonar imaging. Sonar images are very likely to be …

Image segmentation is the significant tasks in maximum medical diagnosis tools. In recent
years, perfect segmentation of medical images is of the great challenging issue. Maximum …

Converting a color image into a grayscale image is a complex problem that is based on
preserving color contrast, sharpness, and luminance. In this paper, a novel image …