Machine learning based no-reference assessment metric for stereoscopic image quality of experience
碩士 === 國立中興大學 === 電機工程學系所 === 105 === Perceptual quality plays an irreplaceable importance in viewing stereoscopic 3d images. Generally, worse quality stereoscopic 3D images will cause the viewer’s eyes tolerate fatigue, painfulness or feel dizziness, headache. Therefore, in this study, we propose a...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/25281189021731135195 |