상세정보
학술지
Hybrid Integration of Visual Attention Model into Image Quality Metric
- 저자
- 정찬호
- 발행일
- 201411
- 출처
- IEICE Transactions on Information and Systems, v.E97.D no.11, pp.2971-2973
- ISSN
- 0916-8532
- 출판사
- 일본, 전자정보통신학회 (IEICE)
- 협약과제
- 14MC1100, SMART Post 구축 기술 개발, 정훈
- 초록
- Integrating the visual attention (VA) model into an objective image quality metric is a rapidly evolving area in modern image quality assessment (IQA) research due to the significant opportunities the VA information presents. So far, in the literature, it has been suggested to use either a task-free saliency map or a quality-task one for the integration into quality metric. A hybrid integration approach which takes the advantages of both saliency maps is presented in this paper. We compare our hybrid integration scheme with existing integration schemes using simple quality metrics. Results show that the proposed method performs better than the previous techniques in terms of prediction accuracy.
- KSP 제안 키워드
- Hybrid Integration, Integration approach, Integration scheme, Prediction accuracy, Quality assessment(IQA), Saliency Map, Visual Attention Model, image quality assessment, objective image quality metric