Publications [#342581] of Cynthia D. Rudin

Papers Published

1. Bei, Y; Damian, A; Hu, S; Menon, S; Ravi, N; Rudin, C, New techniques for preserving global structure and denoising with low information loss in single-image super-resolution, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2018-June (December, 2018), pp. 987-994, ISBN 9781538661000 [doi]
   (last updated on 2024/04/17)

   Abstract:
   This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserve large scale structure when upsampling. We summarize the techniques we developed for our second place entry in Track 1 (Bicubic Downsampling), seventh place entry in Track 2 (Realistic Adverse Conditions), and seventh place entry in Track 3 (Realistic difficult) in the 2018 NTIRE Super-Resolution Challenge. Furthermore, we present new neural network architectures that specifically address the two challenges listed above: denoising and preservation of large-scale structure.