Paper
17 September 2018 All-in-focus image reconstruction robust to ghosting effect
Sergio G. Angulo, Julia R. Alonso, M. Strojnik, Ariel Fernández, G. García-Torales, J. L. Flores, Jose A. Ferrari
Author Affiliations +
Abstract
Depth of field (DOF) is still a limitation in the acquisition of sharp images. Since DOF depends on the optical system, a shallow DOF is common in macro-photography and microscopy. In this work, we propose a post-processing method to improve an all-in-focus algorithm based on a linear system. Using a multi-focus stack we extract a focused object of interest. Finally, we synthesize a single image with extended DOF including occlusions using a-priori information of the objects of the acquired scene. We present theory and experimental results to show the performance of the proposed method using real images captured with a fixed camera.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergio G. Angulo, Julia R. Alonso, M. Strojnik, Ariel Fernández, G. García-Torales, J. L. Flores, and Jose A. Ferrari "All-in-focus image reconstruction robust to ghosting effect", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075229 (17 September 2018); https://doi.org/10.1117/12.2320377
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Binary data

Image restoration

Imaging systems

Fourier transforms

Image fusion

RGB color model

RELATED CONTENT

Submicron parameter determination using simulated annealing
Proceedings of SPIE (November 09 1993)
Computed spectroscopy using segmented apertures
Proceedings of SPIE (February 02 2006)
Approximate shift-invariance by warping shift-variant systems
Proceedings of SPIE (September 30 1994)

Back to Top