지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 420 - 423 (4page)
이용수
초록· 키워드
오류제보하기
In this paper, we suggest a motion adaptive noise elimination method in moving pictures, which combines temporal filtering and spatial filtering for real time processing of 3D images. To realize 3D pictures, two sets of images taken by a twolens camera are rectified. And then, a disparity map is generated using binocular parallax of the rectified two sets of images. At this point, temporal filtering and spatial filtering are applied to generate a disparity map with less noise that also enables real time processing of obtaining high quality 3D images. Temporal filtering corrects errors occurred in the disparity map. Spatial filtering clarifies the boundaries of objects from the background, calibrates images again to reduce noises or surrounding error, and reinforces the edges lost in the images, to get a disparity map of high performance. Our approach showed 6.4dB increment in image quality, realizing the algorithm using RTL(Resister Transfer Level) in real time processing.
목차
Abstract
I. INTRODUCTION
II. PROPOSED STRUCTURE
III. EXPERIMENT AND VERIFICATION
IV. CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-001475284