Implementation of Image Denoising based on Backward Stochastic Differential Equations
Dariusz Borkowski
⚠ This is a preprint. It may change before it is accepted for publication.


In this paper, we give the implementation of image denoising algorithm based on backward stochastic differential equations (in short BSDEs). In our algorithm, we consider two stochastic processes. One of them has values in the image domain and determines pixels that will be involved in the reconstruction, the second one has values in the image codomain and gives weight to values of pixels. The reconstructed image is characterized by smoothing noisy pixels and at the same time enhancing edges. Our experiments show that the new approach gives very good results and can be successfully used to reconstruct images.