Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
This repository contains official implementation of Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes.In recent years, the supervised learning strategy for real noisy image denoising has been emerging and has achieved promising results. In contrast, realistic noise removal for raw noisy videos is rarely studied due to the lack of noisyclean pairs for dynamic scenes. Clean video frames for dynamic scenes cannot be captured with a long-exposure shutter or averaging multi-shots as was done for static images. This paper resolve the problem by creating motions for controllable objects, such as toys, and capturing each static moment for multiple times to generate clean video frames. A dataset with 55 groups of noisyclean videos with ISO values ranging from 1600 to 25600.