A log-domain intensity-chromaticity decoupling approach for low-light image enhancement with explicit reconstruction constraints achieves 29.71 dB PSNR and 0.89 SSIM on LOLv2-Real while improving downstream face detection.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2verdicts
UNVERDICTED 2representative citing papers
LiteIE proposes a two-layer backbone-agnostic feature extractor and parameter-free Iterative Restoration Module for unsupervised low-light enhancement, claiming 19.04 dB PSNR on LOL with 0.07% of SOTA parameters and 30 FPS 4K on Snapdragon 8 Gen 3.
citing papers explorer
-
Rethinking Low-Light Image Enhancement: A Log-Domain Intensity--Chromaticity Decoupling Perspective
A log-domain intensity-chromaticity decoupling approach for low-light image enhancement with explicit reconstruction constraints achieves 29.71 dB PSNR and 0.89 SSIM on LOLv2-Real while improving downstream face detection.
-
Towards Lightest Low-Light Image Enhancement Architecture for Mobile Devices
LiteIE proposes a two-layer backbone-agnostic feature extractor and parameter-free Iterative Restoration Module for unsupervised low-light enhancement, claiming 19.04 dB PSNR on LOL with 0.07% of SOTA parameters and 30 FPS 4K on Snapdragon 8 Gen 3.