In this paper, we present a systematic review and evaluation of existing single-image low-
light enhancement algorithms. Besides the commonly used low-level vision oriented …

Low-light video enhancement is an important task. Previous work is mostly trained on paired
static images or videos. We compile a new dataset formed by our new strategy that contains …

Exposure correction is one of the fundamental tasks in image processing and computational
photography. While various methods have been proposed, they either fail to produce …

We address the problem of correcting the exposure of underexposed photos. Previous
methods have tackled this problem from many different perspectives and achieved …

In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW
images in the low light enhancement and develop a novel alternative route to utilize RAW …

Infrared and visible image fusion is an effective image processing technique to obtain more
comprehensive information, which can help people better understand various scenarios. In …

Previous works on palette-based color manipulation typically fail to produce visually
pleasing results with vivid color and natural appearance. In this paper, we present an …

Photographs taken by mobile device usually suffer from loss of details and low visual
attraction due to the poor light condition. The enhancement of the underexposed image can …

In this paper, a novel image enhancement method, called the all-inclusive image
enhancement (AIIE), is proposed that can effectively enhance the degraded images for …

Population-based algorithms have been used in many real-world problems. Bat algorithm
(BA) is one of the states of the art of these approaches. Because of the super bat, on the one …