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

12/21/2018 ∙ by Thomas Köhler, et al. ∙ 18

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.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 16

page 20

page 26

page 28

page 41

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.