Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
摘要: 由於缺乏原始的UHD HDR視頻內容，因此迫切需要適當的轉換技術，以將舊的低分辨率（LR）標準動態範圍（SDR）視頻轉換爲UHD HDR版本, 在本文中，我們提出了一個聯合的超分辨率（SR）和逆色調映射（ITM）框架，稱爲Deep SR-ITM，它學習了從LR SDR視頻到其HR HDR版本的直接映射。聯合SR和ITM是一個複雜的任務，對於ITM，必須與SR的高頻對比度一起恢復SR的高頻
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相關文章
- 1. Inspirational Applications of Deep Learning
- 2. 論文閱讀筆記--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 ?
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