We propose a new method to render high dynamic range images that models global and
local adaptation of the human visual system. Our method is based on the center-surround …

In this paper, we present the logarithmic total variation (LTV) model for face recognition
under varying illumination, including natural lighting conditions, where we rarely know the …

Nighttime haze removal is important for different applications such as nighttime video
surveillance in haze environment. Different from the imaging conditions in the daytime …

Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-
posed inverse problem is typically regularized by forcing spatial smoothness on the …

In this paper, we propose a variational Bayesian method for Retinex to simulate and
interpret how the human visual system perceives color. To construct a hierarchical Bayesian …

In this paper, we provide a short review of Retinex and then present a unifying framework.
The fundamental assumption of all Retinex models is that the observed image is a …

In this work, a new simple but effective fusion-based strategy for enhancing single backlit
image is proposed. The fundamental idea of proposed strategy is to blend different features …

Enhanced images by the traditional gamma correction (GC) method still have low contrast
within high illuminance regions. In order to enhance the visibility in dark regions and …

One major limitation of remote-sensing images is bad weather conditions, such as haze.
Haze significantly reduces the accuracy of satellite image interpretation. To solve this …

In the case of insufficient illumination conditions, the quality of the captured image is poor. At
this time, increasing the brightness of the dark region of the whole image will inevitably …