awesome-low-light-image-enhancement

Why we included this project

Low-light enhancement shows up in a lot of practical work, from night surveillance and automated driving to fluorescence microscopy, and this list gathers the field's main datasets, methods, review papers, and evaluation metrics into one place. It is organized by method family, so learning-based, histogram-equalization, and Retinex-style approaches are easy to compare side by side, and the preference for papers with released code makes it simple to reproduce baselines or pick a technique to benchmark. The community keeps it current through pull requests, so new datasets and benchmarks tend to appear without much lag. Treat it as a research map rather than a tool you run: it points you to the codebases and data, and the actual evaluation is left to you.