Image Inpainting | Restoration | Gaussian Process | Bayesian Inference | python скачать в хорошем качестве

Image Inpainting | Restoration | Gaussian Process | Bayesian Inference | python

Image Inpainting / Restoration with Gaussian Process Regression / Bayesian Inference, by fitting a GP on a few sample (non-corrupted) pixels from the corrupted image and predicting the corrupted pixels with GP (low resolution input image was used to make the training faster), using RBF kernel with different values of length-scaling hyper-parameter. As the GP is trained with more and more sample pixels, the prediction quality improves (it sometimes can get worse because the underlying optimization algorithm may not converge within a given number of iterations). Also, note that poorly reconstructed regions mostly have low confidence (red color-coded),