article

Extended depth of field in images through complex amplitude pre-processing and optimized digital post-processing

Authors:

L. M. Ledesma-Carrillo,

M. Lopez-Ramirez,

C. A. Rivera-Romero,

A. Garcia-Perez,

E. Cabal-YepezAuthors Info & Claims

Computers and Electrical Engineering, Volume 40, Issue 1

Pages 29 - 40

https://doi.org/10.1016/j.compeleceng.2013.11.003

Published: 01 January 2014 Publication History

Abstract

Many applications require images with high resolution and an extended depth of field. Directly changing the depth of field in optical systems results in losing resolution and information from the captured scene. Different methods have been proposed for carrying out the task of extending the depth of field. Traditional techniques consist of optical-system manipulation by reducing the pupil aperture along with the image resolution. Other methods propose the use of optical arrays with computing-intensive digital post-processing for extending the depth of field. This work proposes a pre-processing optical system and a cost-effective post-processing digital treatment based on an optimized Kalman filter to extend the depth of field in images. Results demonstrate that the proposed pre-processing and post-processing techniques provide images with high resolution and extended depth of field for different focalization errors without requiring optical system calibration. In assessing the resulting image through the universal image quality index, this technique proves superior.

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Cited By

Lopez-Ramirez MLedesma-Carrillo LCabal-Yepez EBotella GRodriguez-Donate CLedesma S(2017)FPGA-based methodology for depth-of-field extension in a single imageDigital Signal Processing10.1016/j.dsp.2017.07.01470:C(14-23)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.dsp.2017.07.014

Extended depth of field in images through complex amplitude pre-processing and optimized digital post-processing
1. Computing methodologies
  1. Artificial intelligence
  2. Computer graphics

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Published In

cover image Computers and Electrical Engineering

Computers and Electrical Engineering Volume 40, Issue 1

January, 2014

289 pages

ISSN:0045-7906

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Copyright © Elsevier Ltd © 2013.

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Pergamon Press, Inc.

United States

Publication History

Published: 01 January 2014

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Cited By

Lopez-Ramirez MLedesma-Carrillo LCabal-Yepez EBotella GRodriguez-Donate CLedesma S(2017)FPGA-based methodology for depth-of-field extension in a single imageDigital Signal Processing10.1016/j.dsp.2017.07.01470:C(14-23)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.dsp.2017.07.014

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