zhihongz/awesome-low-light-image-enhancement resource
This is a resouce list for low light image enhancement observed · 2026-08-28
Health v2 · maintenance only
69/100
- Activity 82
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2292
- days_rel: n/a
- days_push: 113
- n_releases_24m: 0
Adoption not part of the score
1846 stars · 241 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of resources for low-light image enhancement, covering datasets, papers, open-source code, and evaluation metrics. It spans classical methods like histogram equalization and Retinex as well as deep learning approaches.
Use cases
- find datasets for low-light image enhancement research
- discover papers with code on low-light enhancement
- compare Retinex-based and histogram equalization methods
- find benchmarks and metrics for image enhancement
- research night-time image processing for surveillance or autonomous driving
When to choose
- you are starting research on low-light image enhancement and need an overview
- you need a catalog of datasets like SID, LOL, or ExDARK
- you want to survey learning-based and classical enhancement methods
When to avoid
- you need a ready-to-use image enhancement tool or library
- you want production image processing code rather than a reference list
Facets
learning-resource · maturity active
image-processing computer-vision machine-learning computer-vision image-processing deep-learning awesome-lists cross-platform awesome-list low-light image-enhancement retinex datasets research-papers
1 source
- readme: https://github.com/zhihongz/awesome-low-light-image-enhancement · fetched 2026-08-28 · e5d8e26d867c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zhihongz/awesome-low-light-image-enhancement | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="zhihongz/awesome-low-light-image-enhancement")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem