[1]WANG Wei,LIU Hui,YANG Junan.Blind quality evaluation with image features codebook mapping[J].CAAI Transactions on Intelligent Systems,2018,13(6):989-993.[doi:10.11992/tis.201805027]
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Blind quality evaluation with image features codebook mapping

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 6 Page number: 989-993 Column: 学术论文—机器感知与模式识别 Public date: 2018-10-25
Title:
Blind quality evaluation with image features codebook mapping
Author(s):
WANG Wei1; 2;  LIU Hui2;  YANG Jun’an2
1. Center for Assessment and Demonstration Research, Academy of Military Science, Beijing 100091, China;
2. Institute of Electronic Warfare, National University of Defense Technology, Hefei 230037, China
Keywords:
objective assessment; blind assessment; image quality assessment; local structural feature; global statistics characteristics; feature extraction; codebook; pooling mapping
CLC:
TP391.4
DOI:
10.11992/tis.201805027
Abstract:
Image quality assessment is crucial to many computer vision tasks. Traditional approaches concentrate on human perceptual scoring. The biggest hurdle to these subjective efforts is the difficulty of collecting the enormous human scored data. To solve this difficulty, we propose a blind image quality assessment framework. Starting with local structural characteristics and global statistics characteristics of images, we utilize a codebook-based pooling strategy to accelerate the scoring stage. Experimental results show that by comparison with other algorithm, an effective performance in accuracy and robustness was achieved using the proposed approach.
References:
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Last Update: 2018-12-25

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