Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging release_k6gfmgb4o5cxvmaeoay4zfb5ly

by Thomas Köhler

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2018  

Abstract

The optical resolution of a digital camera is one of its most crucial parameters with broad relevance for consumer electronics, surveillance systems, remote sensing, or medical imaging. However, resolution is physically limited by the optics and sensor characteristics. In addition, practical and economic reasons often stipulate the use of out-dated or low-cost hardware. Super-resolution is a class of retrospective techniques that aims at high-resolution imagery by means of software. Multi-frame algorithms approach this task by fusing multiple low-resolution frames to reconstruct high-resolution images. This work covers novel super-resolution methods along with new applications in medical imaging.
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Type  article
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Date   2018-12-21
Version   v1
Language   en ?
arXiv  1812.09375v1
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