Deep Chromatic Adaptation.
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Updated
Nov 29, 2021 - Python
Deep Chromatic Adaptation.
Not a serious implementation of Deep white balance in Tensorflow. Aimed for personal learning.
Learning Color Constancy Using Convolutional Neural Networks (ConvNets)
Image enhancement using flash and no-flash images
A MacOS Finder Workflow to Auto White Balance CinemaDNG sequences. Useful for converted Magic Lantern RAW footage (MLV).
Code for "Truncated Edge-based Color Constancy"
Bias correction method for illuminant estimation -- JOSA 2019
A bunch of Automatic White-Balancing (AWB) Algorithm Implementations
ImageJ / Fiji macro to automatically correct white balance in RGB images
PGM to DNG converter
Pytorch implementation of Ligeng Zhu and Brian Funt 's paper "Colorizing Color Images"
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.
Image processing pipeline for cameras that provide raw data
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)
Enhance an image taken under water using color balance and fusion
C++ Automated white balance using lodepng and some color correction
Color Correction, with Color Cards using CV2 Aruco
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.
An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.
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