Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission

• URL: http://arxiv.org/abs/2009.04127v2
• Date: Tue, 22 Sep 2020 06:27:21 GMT
• Title: Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission
• Authors: Jesper Haahr Christensen, Lars Valdemar Mogensen, Ole Ravn
• Abstract summary: Low-bandwidth communication, such as underwater acoustic communication, is limited by best-case data rates of 30--50 kbit/s. This is investigated on a large, diverse dataset obtained during years of trawl fishing where cameras have been placed in the fishing nets. A neural network is then trained to perform up-sampling, trying to reconstruct the original image.
• Score: 1.5469452301122177
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Low-bandwidth communication, such as underwater acoustic communication, is limited by best-case data rates of 30--50 kbit/s. This renders such channels unusable or inefficient at best for single image, video, or other bandwidth-demanding sensor-data transmission. To combat data-transmission bottlenecks, we consider practical use-cases within the maritime domain and investigate the prospect of Single Image Super-Resolution methodologies. This is investigated on a large, diverse dataset obtained during years of trawl fishing where cameras have been placed in the fishing nets. We propose down-sampling images to a low-resolution low-size version of about 1 kB that satisfies underwater acoustic bandwidth requirements for even several frames per second. A neural network is then trained to perform up-sampling, trying to reconstruct the original image. We aim to investigate the quality of reconstructed images and prospects for such methods in practical use-cases in general. Our focus in this work is solely on learning to reconstruct the high-resolution images on "real-world" data. We show that our method achieves better perceptual quality and superior reconstruction than generic bicubic up-sampling and motivates further work in this area for underwater applications.

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