#644 · Primary category: Computer Vision

OpenCE

computer-vision contrast contrast-enhancement image-enhancment image-manipulation image-processing image-restoration low-light

Contrast Enhancement Techniques for low-light images

Project last updated:06/28/18

GitHub Stars

525

Forks

149

Contributors

1

License

MIT

Why we included this project

OpenCE is a practical collection of contrast enhancement algorithms for dark or underexposed photos, organized by the technique family each one belongs to instead of bundling everything into a single pipeline. You get histogram-equalization variants like CLAHE, Retinex-based illumination estimation, dehazing methods, and fusion-based approaches, each tied to the published paper it implements. That structure is what makes it useful for reproducing results from the literature or benchmarking a new method against established baselines. The repository also includes 500 test images from the BSDS500 set, and the code is mostly MATLAB.

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