Quick answer
Local Super-Resolution Transforms for Low-Resolution Images is an open source machine vision project from Hackster.io, indexed by ZouIC. Combined with the local implicit image function model and VCK5000, high-fidelity images can be captured at any resolution.
- Source
- Hackster.io
- Focus
- machine vision
- Author
- Cao_Chao
- Published
- 2022-04-18
Common questions
What does Local Super-Resolution Transforms for Low-Resolution Images do?
Combined with the local implicit image function model and VCK5000, high-fidelity images can be captured at any resolution.
Where does Local Super-Resolution Transforms for Low-Resolution Images come from?
ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/cao_chao/local-super-resolution-transforms-for-low-resolution-images-f9929d.
What stack does Local Super-Resolution Transforms for Low-Resolution Images use?
tags AMD Xilinx.
When was Local Super-Resolution Transforms for Low-Resolution Images published?
The source page lists 2022-04-18.
Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.
Local Super-Resolution Transforms for Low-Resolution Images
Published 2022-04-18
Combined with the local implicit image function model and VCK5000, high-fidelity images can be captured at any resolution.
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This content is sourced from Hackster.io Platform，All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.