Blind Stereoscopic Image Quality Assessment Based on Machine Learning
碩士 === 國立中興大學 === 電機工程學系所 === 106 === We proposed a blind image quality assessment model named classification and prediction for 3D images quality assessment (denoted by CAP-3DIQA) that can automatically evaluate the stereoscopic image quality. First, the model executed the classified process in the...
Main Authors: | Ching-Ti Lin, 林敬迪 |
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Other Authors: | Tsung-Jung Liu |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/6qv752 |
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