Denoising RENOIR Image Dataset with DBSR
Fatma Albluwi · Maynooth University ePrints and eTheses Archive (Maynooth University) · 2019
Noise reduction algorithms have often been evaluated using images degraded by artificially synthesised noise. The RENOIR image dataset [3] provides an alternative way for testing noise reduction algorithms on real noisy images and we propose in this paper to assess our CNN called De-Blurring Super-Resolution (DBSR) [2] to reduce the natural noise due to low light conditions in a RENOIR dataset.