SMC 2015 : Big Data Analytics For Human-Centric Systems
Place of publication
It is not uncommon in many image acquisition solutions to balance a trade off between obtaining high resolution images at very low frame rates or acquiring a burst of low resolution images at higher frame rates. This paper introduces a novel image fusion framework for producing a high resolution video by augmenting analysed motion in a low resolution video to a single high resolution image. Many application domains such as remote sensing, low radiation medical imaging and battlefield automation will benefit from this novel fusion framework. The results show that a captured high resolution 30 frames per second video can be produced with 95% cost reduction while maintaining 94% structural similarity.
Field of Research
080602 Computer-Human Interaction 080106 Image Processing 110320 Radiology and Organ Imaging
Socio Economic Objective
970101 Expanding Knowledge in the Mathematical Sciences
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