https://github.com/gyaneshwar17/retinex-based-llie
This repository explores Low-Light Image Enhancement (LLIE) using Retinex theory and diffusion models. The focus is on testing the decomposition of images into reflectance and illumination maps using methods like Retinex-Net, with enhancements applied to illumination for improved low-light image quality.
https://github.com/gyaneshwar17/retinex-based-llie
deep-learning imageenhancement lowlight machine-learning-algorithms perceptual-losses psnr python ssim vgg16
Last synced: about 1 month ago
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This repository explores Low-Light Image Enhancement (LLIE) using Retinex theory and diffusion models. The focus is on testing the decomposition of images into reflectance and illumination maps using methods like Retinex-Net, with enhancements applied to illumination for improved low-light image quality.
- Host: GitHub
- URL: https://github.com/gyaneshwar17/retinex-based-llie
- Owner: Gyaneshwar17
- Created: 2025-01-28T10:29:19.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-01-28T11:23:29.000Z (3 months ago)
- Last Synced: 2025-01-28T11:33:45.385Z (3 months ago)
- Topics: deep-learning, imageenhancement, lowlight, machine-learning-algorithms, perceptual-losses, psnr, python, ssim, vgg16
- Homepage:
- Size: 1.51 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0