Experimentation with the quarter window filters mentioned in the ICIP research paper 'Quarter Laplacian Filter for Edge Aware Image Processing'.
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Updated
Aug 29, 2025 - Python
Experimentation with the quarter window filters mentioned in the ICIP research paper 'Quarter Laplacian Filter for Edge Aware Image Processing'.
MIRNet for Low Light Image Enhancement
Dual-AttnGAN: A dual-input GAN for joint low-light image enhancement and 4× super-resolution, fusing wide-angle and zoomed images via asymmetric cross-attention.
The project is the official implementation of our WACV 2023 paper, "Real-Time Restoration of Dark Stereo Images"
[IEEE SPL] A RNN for temporal consistency in videos enhanced by single-frame methods
A Minimalist Approach to HDR Image Compression with Applications to Low-Light Image Enhancement
The project is the official implementation of our BMVC 2020 paper, "Towards Fast and Light-Weight Restoration of Dark Images"
Term Project for EE5176-Computational Photography.
Zero-Reference Low-Light Image Enhanchement
latent light manifestation algorithm for low-light image enhancement
Modern Computer Vision EE5178 Data Contest - Low light image detection and classification
This repository provides a MATLAB implementation for analyzing real-world low-light images and detecting common types of noise and artifacts that often occur in such images
Adapted type-II fuzzy algorithm for non-uniform illumination images
training and evaluation methods for low-light object detection
Generative Strategy for Low and Normal Light Image Pairs with Enhanced Statistical Fidelity By Cheuk-Yiu Chan, Wan-Chi Siu, Yuk-Hee Chan and H. Anthony Chan
Tensorflow implementation of MIRNet for Low-light image enhancement
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
This project for re-implement low light image enhancement which is using Zero-DCE model. My implement based on Pytorch implementation of Li-Chonyi and Tensorflow/Keras 2X implementation of TuVoVan.
The MindSpore Implementantion of Quality Assessment for Enhanced Low-light Image
Novel Approach for Low Light Image Enhancement
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