한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송∙미디어공학회 2017년도 추계학술대회
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- Pages.218-220
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- 2017
스티칭 영상의 객관적 영상화질의 평가 방법
Objective Quality Assessment for Stitched Image and Video
- 미어 사데크 빌라흐 (서울과학기술대학교, 전기정보공학과) ;
- 타이 탄 투안 (서울과학기술대학교, 전기정보공학과) ;
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안희준
(서울과학기술대학교, 전기정보공학과)
- Billah, Meer Sadeq (Dept. Electrical and Information Eng. Seoul National Univ. of Science and Technology) ;
- Tuan, Thai Thanh (Dept. Electrical and Information Eng. Seoul National Univ. of Science and Technology) ;
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Ahn, Heejune
(Dept. Electrical and Information Eng. Seoul National Univ. of Science and Technology)
- 발행 : 2017.11.03
초록
Recently, stitching techniques are used for obtaining wide FOV, e.g., panorama contents, from normal cameras. Despite many proposed algorithms, the no objective quality evaluation method is developed, so the comparison of algorithms are performed only in subjective way. The paper proposes a 'Delaunay-triangulation based objective assessment method' for evaluating the geometric and photometric distortions of stitched or warped images. The reference and target images are segmented by Delaunay-triangulation based on matched points between two images, the average Euclidian distance is used for geometric distortion measure, and the average or histogram of PSNR for photometric measure. We shows preliminary results with several test images and stitching methods for demonstrate the benefits and application.
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