Contrast is subject to dramatic changes across the visual field, depending on the source of
light and scene configurations. Hence, the human visual system has evolved to be more …

Contrast is a crucial factor in visual information processing. It is desired for a visual system-
irrespective of being biological or artificial-to" perceive" the world robustly under large …

The ultimate goal of neuroscience is to explain how complex behaviour arises from neuronal
activity. A comparable level of complexity also emerges in deep neural networks (DNNs) …

In this work, we introduce a dual transformation network for single image contrast
enhancement, which usually aims to improve global contrast and enrich local details. To this …

Different issues related to contrast has been investigated in image processing and computer
vision. This has made introducing an accurate contrast measure an important issue. While …

The contrast sensitivity function (CSF) is a fundamental signature of the visual system that
has been measured extensively in several species. It is defined by the visibility threshold for …

Traditionally, the vision community has devised algorithms to estimate the distance between
an original image and images that have been subject to perturbations. Inspiration was …

Law contrast images obtained from smart phones or any imaging devices are difficult to
process by image processing systems and general users. Therefore, an enhancement of low …

We present a general-purpose framework for the optimization of parametric contrast
enhancement algorithms. We first define a regression module for image acceptability, which …

Recent self-supervised contrast learning methods have made significant progress in the
field of computer vision, and these methods aim to learn useful feature representations from …