Color Normalization
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Color Normalization
Most implemented papers
Regularized Discrete Optimal Transport
The resulting transportation plan can be used as a color transfer map, which is robust to mass variation across images color palettes.
Fast GPU-Enabled Color Normalization for Digital Pathology
MEDAL-IITB/Fast_WSI_Color_Norm
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Normalizing unwanted color variations due to differences in staining processes and scanner responses has been shown to aid machine learning in computational pathology.
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
Alternatively, color augmentation can be applied during training leading to a more robust model without the extra step of color normalization at test time.
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
NeelKanwal/Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection
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2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) 2022
Since blood and damaged tissue have subtle color differences, we assess the impact of color processing methods on the binary classification performance of five well-known architectures.
Neural Preset for Color Style Transfer
ZHKKKe/NeuralPreset
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CVPR 2023
In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed.
