ImageJ / Fiji macro to automatically correct white balance in RGB images
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Updated
Nov 13, 2017
ImageJ / Fiji macro to automatically correct white balance in RGB images
Image enhancement using flash and no-flash images
Pytorch implementation of Ligeng Zhu and Brian Funt 's paper "Colorizing Color Images"
Learning Color Constancy Using Convolutional Neural Networks (ConvNets)
A MacOS Finder Workflow to Auto White Balance CinemaDNG sequences. Useful for converted Magic Lantern RAW footage (MLV).
Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.
Bias correction method for illuminant estimation -- JOSA 2019
PGM to DNG converter
Deep Chromatic Adaptation.
An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.
Not a serious implementation of Deep white balance in Tensorflow. Aimed for personal learning.
Code for "Truncated Edge-based Color Constancy"
White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]
Reference code for the paper Auto White-Balance Correction for Mixed-Illuminant Scenes.
A camera pipeline that allows accurate post-capture white balance editing (CIC best paper award, 2019)
Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
A bunch of Automatic White-Balancing (AWB) Algorithm Implementations
Enhance an image taken under water using color balance and fusion
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
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