No-Reference Light Field Image Quality Assessment Method Based on a Long-Short Term Memory Neural Network
Author:
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/ielx7/9859264/9859265/09859419.pdf?arnumber=9859419
Reference21 articles.
1. Very deep convolutional neural network based image classification using small training sample size
2. No-Reference Deep Quality Assessment of Compressed Light Field Images
3. Perceptual Evaluation of Light Field Image
4. Towards a Quality Metric for Dense Light Fields
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1. Quality Assessment of Light Field Images Based on Adaptive Attention in ViT;Electronics;2024-07-29
2. Learning-based light field imaging: an overview;EURASIP Journal on Image and Video Processing;2024-05-30
3. Blind light field image quality assessment based on deep meta-learning;Optics Letters;2023-11-21
4. Spatial-angular Quality-aware Representation Learning for Blind Light Field Image Quality Assessment;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
5. A survey on visual quality assessment methods for light fields;Signal Processing: Image Communication;2023-01
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