Light field reconstruction using shearlet transform in tensorflow
Gao, Yuan; Koch, Reinhard; Bregovic, Robert; Gotchev, Atanas (2019-07-01)
Gao, Yuan
Koch, Reinhard
Bregovic, Robert
Gotchev, Atanas
IEEE
01.07.2019
2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202001211439
https://urn.fi/URN:NBN:fi:tuni-202001211439
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [16726]