This is a resouce list for low light image enhancement

automatic color-grading and image data augmentation

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

SJTU CS386 Digital Image Processing

NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.

This repo compiles various blind image quality acessment methods focused on contrast evaluation. Only code that works in Python or Octave.

This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.

This module attempts to enhance contrast of a given image by equalizing its two dimensional histogram.

Matlab Implementation of journal "A fusion-based enhancing method for weakly illuminated images" by XueyangFu, DeluZeng, YueHuang, YinghaoLiao, XinghaoDing, JohnPaisley, Signal Processing Journal, Elsevier, May 2016

Image processing codes written in python

Exact histogram matching implementation of Dinu Coltuc et al.

Image Processing Implementation

AI ML based Image enhancement module built in Python. It is used for improving the quality of images using different filters in openCV. It works better with gray-scale images.

[AI6121] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6121 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.

Coding computer vision related algorithms from "scratch".

A Julia package for enhancing and manipulating image contrast.

Implementation of a histogram equalization program using CUDA. Histogram equalization is a technique for adjusting image intensities to enhance contrast.