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Depth map enhancement using adaptive moving least squares method with a total variation minimization

Title
Depth map enhancement using adaptive moving least squares method with a total variation minimization
Authors
Yoon S.M.Yoon J.
Ewha Authors
윤정호
SCOPUS Author ID
윤정호scopus
Issue Date
2016
Journal Title
Multimedia Tools and Applications
ISSN
1380-7501JCR Link
Citation
vol. 75, no. 23, pp. 15929 - 15938
Keywords
Image denoisingTotal variation minimization
Publisher
Springer New York LLC
Indexed
SCIE; SCOPUS WOS scopus
Abstract
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.
DOI
10.1007/s11042-015-2905-x
Appears in Collections:
자연과학대학 > 수학전공 > Journal papers
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