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Light field reconstruction using shearlet transform in tensorflow

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Details

Original languageEnglish
Title of host publication2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019
PublisherIEEE
Number of pages1
ISBN (Electronic)9781538692141
DOIs
Publication statusPublished - 1 Jul 2019
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Multimedia and Expo Workshops - Shanghai, China
Duration: 8 Jul 201912 Jul 2019

Conference

ConferenceIEEE International Conference on Multimedia and Expo Workshops
CountryChina
CityShanghai
Period8/07/1912/07/19

Abstract

Shearlet Transform (ST) is one of the most effective approaches for light field reconstruction from Sparsely-Sampled Light Fields (SSLFs). This demo paper presents a comprehensive implementation of ST for light field reconstruction using one of the most popular machine learning libraries, i.e. Tensor Flow. The flexible architecture of TensorFlow allows for the easy deployment of ST across different platforms (CPUs, GPUs, TPUs) running varying operating systems with high efficiency and accuracy.

Keywords

  • Epipolar-Plane Image, Light Field Reconstruction, Light Field Sparsification, Shearlet Transform, TensorFlow

Publication forum classification

Field of science, Statistics Finland