Image processing program to recognize resulting colors of biological assays
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Updated
Oct 16, 2019 - Java
Image processing program to recognize resulting colors of biological assays
Not a serious implementation of Deep white balance in Tensorflow. Aimed for personal learning.
A new method for image enhancement in Matlab
Learning Color Constancy Using Convolutional Neural Networks (ConvNets)
Source code and dataset for the paper titled "Colour alignment for relative colour constancy via non-standard references"
Code for "Truncated Edge-based Color Constancy"
Official codes for 'Domain Adversarial Learning for Color Constancy'
A suite of tests to assess attention faithfulness for explainability
Bias correction method for illuminant estimation -- JOSA 2019
Matlab Implementation of VISSAP 2019 <<Revisiting Gray Pixel for Statistical Illumination Estimation>>
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.
Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)
C++ Automated white balance using lodepng and some color correction
Semantic information can help CNNs to get better illuminant estimation -- a proof of concept
Implementation of the method described in the paper "Quasi-unsupervised color constancy" - CVPR 2019
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
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.
Reference code for the paper Auto White-Balance Correction for Mixed-Illuminant Scenes.
[CVPR2020] A Multi-Hypothesis Approach to Color Constancy
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