most citedFourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

8 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 8 cited

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

Chenxi Wang, Hongjun Wu, Zhi Jin

Recently, Fourier frequency information has attracted much attention in Low-Light Image Enhancement (LLIE). Some researchers noticed that, in the Fourier space, the lightness degra…

cs.CV2023★ 1 cited

Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement

Chenxi Wang, Zhi Jin

Low-Light Image Enhancement (LLIE) aims to improve the perceptual quality of an image captured in low-light conditions. Generally, a low-light image can be divided into lightness a…

cs.CV2023

Low-Light Enhancement in the Frequency Domain

Hao Chen, Zhi Jin

Decreased visibility, intensive noise, and biased color are the common problems existing in low-light images. These visual disturbances further reduce the performance of high-level…

cs.CV2023★ 1 cited

Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation

Zongyao He, Zhi Jin

Recent years have witnessed the remarkable success of implicit neural representation methods. The recent work Local Implicit Image Function (LIIF) has achieved satisfactory perform…

eess.IV2018★ 3 cited

Compression of phase-only holograms with JPEG standard and deep learning

Shuming Jiao, Zhi Jin, Chenliang Chang +3

It is a critical issue to reduce the enormous amount of data in the processing, storage and transmission of a hologram in digital format. In photograph compression, the JPEG standa…