Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
摘要: 由于缺乏原始的UHD HDR视频内容，因此迫切需要适当的转换技术，以将旧的低分辨率（LR）标准动态范围（SDR）视频转换为UHD HDR版本, 在本文中，我们提出了一个联合的超分辨率（SR）和逆色调映射（ITM）框架，称为Deep SR-ITM，它学习了从LR SDR视频到其HR HDR版本的直接映射。联合SR和ITM是一个复杂的任务，对于ITM，必须与SR的高频对比度一起恢复SR的高频
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相关文章
- 1. Inspirational Applications of Deep Learning
- 2. 论文阅读笔记--JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with UHD HDR video
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- 4. HDR （automatic exposure control + Tonemapping + Bloom）
- 5. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
- 6. What is 4K, UHD, QFHD, FHD, and HD ?
- 7. 自监督学习（四）Joint Unsupervised Learning of Deep Representations and Image Clusters
- 8. 《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》笔记
- 9. 论文笔记 Joint Inference of Reward Machines and Policies for Reiforcement Learning
- 10. Kernel Functions for Machine Learning Applications