Shape-from-focus reconstruction using nonlocal matting Laplacian prior followed by MRF-based refinement
作者：
Highlights：
• Depth reconstruction using nonlocal matting Laplacian prior is proposed to obtain a reliable depth image with clear edges and fine details.
• We propose a MRF-based edge-preserving depth refinement algorithm to denoise the reconstructed depth image and suppress texture-copy artifacts,
• A closed-form solution is obtained in the depth refinement process.
• Our method outperforms the existing approaches in terms of robustness, and the ability in preserving edges and fine details while maintaining spatial consistency.
摘要
•Depth reconstruction using nonlocal matting Laplacian prior is proposed to obtain a reliable depth image with clear edges and fine details.•We propose a MRF-based edge-preserving depth refinement algorithm to denoise the reconstructed depth image and suppress texture-copy artifacts,•A closed-form solution is obtained in the depth refinement process.•Our method outperforms the existing approaches in terms of robustness, and the ability in preserving edges and fine details while maintaining spatial consistency.
论文关键词：Shape from focus,Depth reconstruction,Matting Laplacian,Image denoising,Markov random field,Edge-preserving
论文评审过程：Received 20 August 2019, Revised 23 January 2020, Accepted 23 February 2020, Available online 24 February 2020, Version of Record 3 March 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107302
