Denoising of noisy MNIST dataset images using Conditional Random Fields
Noisy images of a particular digit are denoised using a trained CRF model. The CRF model is implemented using the PyStruct library
The problem statement requires the denoising of images of a particular digit using CRF's.
- CRFBasic.py Basic model with unary potentials defined by node pixel value.
- CRFBasic_Iterative.py Basic model with iterative saving of models at different stages of model training.
- CRFEdgeFeatures.py Model with unary potentials defined by node pixel value and pair-wise potential defined pixel values of connecting nodes.
- CRFNeighborhood.py Model with unary potentials defined by pixel values of node and neighboring nodes.
- CRFNeighborEdgeFeatures Combination of CRFEdgeFeatures and CRFNeighborhood.
