標題: MAXIMUM-A-POSTERIORI ESTIMATION FOR GLOBAL SPATIAL COHERENCE RECOVERY BASED ON MATTING LAPLACIAN
作者: Tseng, Chen-yu
Wang, Sheng-Jyh
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: matting Laplacian;image filtering;depth estimation;spatial coherence;spectral graph
公開日期: 2012
摘要: Global spatial coherence is an important criterion in the performance evaluation of many image applications, such as image segmentation, image enhancement, depth estimation, motion estimation, and many others. In this paper, we treat the recovery of spatial coherence as a Maximum-A-Posteriori (MAP) estimation problem, with a generalized spatial-coherence prior model based on Matting Laplacian (ML) matrix. Besides, to enhance computational efficiency, a cell-based Matting-Laplacian (CML) framework is further proposed. In our experiments, we demonstrate that the proposed approach can greatly improve the spatial coherence of the output results in variant applications, like the shape-from-focus process and the SIFT-flow refinement process.
URI: http://hdl.handle.net/11536/22057
ISBN: 978-1-4673-2533-2
ISSN: 1522-4880
期刊: 2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012)
起始頁: 293
結束頁: 296
Appears in Collections:Conferences Paper