Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91257
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Physics | - |
| dc.creator | Fung, Siu Bong Benjamin | - |
| dc.identifier.uri | https://ows.lib.polyu.edu.hk/s/ows/item/3248 | - |
| dc.language.iso | English | - |
| dc.rights | All rights reserved | - |
| dc.subject | Machine Learning and Artificial Intelligence | - |
| dc.subject | Image Processing | - |
| dc.subject | High-Performance Computing and GPU Utilization | - |
| dc.subject | Deep Learning | - |
| dc.subject | Research and Literature Review | - |
| dc.title | Be Proud of Your Innovation | - |
| dc.type | Feature Story | - |
| dc.type | OWS | - |
| dcterms.abstract | There were many cheap and small form factor camera modules available, however, these cameras can only output low resolution and frame rate video streams. Mr Benjamin Fung started investiaging about the image upscaling algorithm based on supervised machine learning. After searching some scholarly articles, he found that passing the low-level information images to the last few layers can reconstruct a higher resolution image. Benjamin denoted it as an information skipping structure. The algorithm can be used for image and video processing as it can outperform the traditional upscaling method in low-resolution images in a cost-effective way. | - |
| dcterms.accessRights | open access | - |
| dcterms.LCSH | Image processing | - |
| dcterms.LCSH | Machine learning | - |
| dcterms.educationalLevel | Undergraduate | - |
| Appears in Collections: | Outstanding Work by Students | |
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