Light Field Image Quality Assessment with Dense Atrous Convolutions-Reference-Cited by-同舟云学术

Light Field Image Quality Assessment with Dense Atrous Convolutions

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Alamgeer Sana¹,Farias Mylene C. Q.¹

Affiliation:

1. University of Brasília,Department of Electrical Engineering,Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897598.pdf?arnumber=9897598

Reference20 articles.

1. Perceptual Evaluation of Light Field Image

2. VALID: Visual quality Assessment for Light field Images Dataset

3. A light field image quality assessment model based on symmetry and depth features;tian;IEEE Transactions on Circuits and Systems for Video Technology,2020

4. LFDD: Light field image dataset for performance evaluation of objective quality metrics;zizien;Proc of SPIE Conf on Applications of Digital Image Processing XXII,2020

5. On the importance of initialization and momentum in deep learning;sutskever,0

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