Paper ID | TEC-6.10 | ||
Paper Title | BACK-PROJECTION PIPELINE | ||
Authors | Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang, BOE Technology Group Co., Ltd., China | ||
Session | TEC-6: Image and Video Processing 2 | ||
Location | Area G | ||
Session Time: | Monday, 20 September, 15:30 - 17:00 | ||
Presentation Time: | Monday, 20 September, 15:30 - 17:00 | ||
Presentation | Poster | ||
Topic | Image and Video Processing: Interpolation, super-resolution, and mosaicing | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | We propose a simple extension of residual networks that works simultaneously in multiple resolutions for the problem of image super-resolution. Our network design is inspired by the iterative back-projection algorithm and seeks the more difficult task of learning how to enhance images. Compared to similar approaches, we propose a novel solution to make back-projections run in multiple resolutions by using a data pipeline workflow. Features are updated at multiple scales in each layer of the network. The update dynamic through these layers includes interactions between different resolutions in a way that is causal in scale, and it is represented by a system of ODEs, as opposed to a single ODE in the case of ResNets. |