Depth map enhancement using adaptive moving least squares method with a total variation minimization
- 주제(키워드) Image denoising , Total variation minimization
- 관리정보기술 faculty
- 등재 SCIE, SCOPUS
- 발행기관 Kluwer Academic Publishers
- 발행년도 2015
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000119243
- 본문언어 영어
- Published As http://dx.doi.org/10.1007/s11042-015-2905-x
초록/요약
Accurate and fast depth map acquisition and enhancement is an important issue in the area of computer vision and image processing. In this study, we present a novel method for enhancing noisy depth maps using adaptive total variation minimization, which facilitates noise smoothing and boundary sharpening for a given depth map image but without previous information. We filter the noise in the depth map with a refined total variation minimization technique. Our experimental results demonstrate that the proposed method outperforms other competitive methods in both objective and subjective comparisons of depth map enhancement and denoising. © 2015 Springer Science+Business Media New York
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