3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator
作者：
Highlights：
• The feasibility of combining multifocus image fusion and shape-from-focus methods to obtain real 3D reconstruction results is introduced.
• The advantages of 3D shape reconstruction using nonsubsampled shearlet transform and a multidirectional modified Laplacian are discussed.
• The major challenges faced by conventional shape-from-focus algorithms in reconstruction of low-contrast regions are analyzed.
• The difficulties of existing image fusion methods in mining depth information are summarized.
• Future applications of the proposed 3D shape reconstructions in the field of intaglio printing are presented.
摘要
•The feasibility of combining multifocus image fusion and shape-from-focus methods to obtain real 3D reconstruction results is introduced.•The advantages of 3D shape reconstruction using nonsubsampled shearlet transform and a multidirectional modified Laplacian are discussed.•The major challenges faced by conventional shape-from-focus algorithms in reconstruction of low-contrast regions are analyzed.•The difficulties of existing image fusion methods in mining depth information are summarized.•Future applications of the proposed 3D shape reconstructions in the field of intaglio printing are presented.
论文关键词：3D shape reconstruction,Image fusion,Shape-from-focus,Microscopic imaging,Nonsubsampled shearlet transform
论文评审过程：Received 3 February 2019, Revised 10 September 2019, Accepted 23 September 2019, Available online 24 September 2019, Version of Record 28 September 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.107065
