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2. ENGINEERING AND TECHNOLOGY
Noise reduction algorithms have often been evaluated using images degraded by artificially synthesised noise. The RENOIR image dataset  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)  to reduce the natural noise due to low light conditions in a RENOIR dataset.
Albluwi, F., Krylov, V. & Dahyot, R. (2019). Denoising RENOIR dataset with DBSR, IMVIP 2019: Irish Machine Vision & Image Processing, Technological University Dublin, Dublin, Ireland, August 28-30. doi: 10.21427/g34k-8r27