This is a resouce list for low light image enhancement

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab - Solomon / Breckon, 2010

Reference code for the paper Interactive White Balancing for Camera-Rendered Images Mahmoud Afifi and Michael S. Brown. In Color and Imaging Conference (CIC), 2020.

Multi-scale Optimal Fusion Model for Single Image Dehazing （matlab code）

Fast Region-Adaptive Defogging and Enhancement; image dehazing; image defogging; image enhancement; accepted by ICPR 2020

This source code is a MATLAB implementation of a nonlinear unsharp masking method, published in the proceeding of ICEIC 2020, Barcelona, Spain. The algorithm was implemented by means of generalized operators, therein lies the underlying cause of its robustness against out-of-range issue.

Image contrast enhancement via a hybrid of ant colony optimization, genetic algorithm, and simulated annealing

指纹图像处理；指纹提取；指纹图像增强；Gabor滤波器

[IEEE Access 2023] ADOM: ADMM-Based Optimization Model for Stripe Noise Removal in Remote Sensing Image

Basics of image processing techniques like image manipulation, image enhancement, image segmentation, and many more using Matlab code

Adaptive image enhancement method for correcting low-illumination images

Official implementation of PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map (IEEE ICASSP 2022)

Code for our paper "LECARM: Low-Light Image Enhancement using Camera Response Model"

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.

Implementation of paper 'Two Step Approach for Single Underwater Image Enhancement'

This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processing, and some concepts of machine learning.

Code for the paper "Reflectance-guided, contrast-accumulated histogram equalization" published in ICASSP 2020.