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...

Full description

Bibliographic Details
Main Authors: Ching-Ti Lin, 林敬迪
Other Authors: Tsung-Jung Liu
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/6qv752