ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.13736
  4. Cited By
L^2UWE: A Framework for the Efficient Enhancement of Low-Light
  Underwater Images Using Local Contrast and Multi-Scale Fusion

L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion

28 May 2020
T. Marques
A. Albu
ArXivPDFHTML

Papers citing "L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion"

2 / 2 papers shown
Title
Zero-Shot Low Light Image Enhancement with Diffusion Prior
Zero-Shot Low Light Image Enhancement with Diffusion Prior
Joshua Cho
Sara Aghajanzadeh
Zhen Zhu
David A. Forsyth
DiffM
94
0
0
18 Dec 2024
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
K. Jia
Chunmei Qing
Dacheng Tao
117
2,388
0
28 Jan 2016
1