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
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Binary data

Image restoration

Imaging systems

Fourier transforms

Image fusion

RGB color model

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