Abstract: In this work, we propose to solve batch denoising using Blahut-Arimoto algorithm (BA). Batch denoising via BA (BDBA), similar to Deep Image Prior (DIP), is based on an untrained score-based generative model. Theoretical results show that our denoising estimation is highly likely to be close to the best result. Experimentally, we show that BDBA outperforms DIP significantly.
Student Paper: No