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arXiv · 1705.07772

Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling

Pablo Navarrete Michelini·Hanwen Liu
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Abstract

We interpret convolutional networks as adaptive filters and combine them with so-called MuxOut layers to efficiently upscale low resolution images. We formalize this interpretation by deriving a linear and space-variant structure of a convolutional network when its activations are fixed. We introduce general purpose algorithms to analyze a network and show its overall filter effect for each given location. We use this analysis to evaluate two types of image upscalers: deterministic upscalers that target the recovery of details from original content; and second, a new generation of upscalers that can sample the distribution of upscale aliases (images that share the same downscale version) that look like real content.

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Pablo Navarrete Michelini, Hanwen Liu. 2017-05-22. Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling. https://arxiv.org/abs/1705.07772

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