Journal of Graphic Engineering and Design

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Vol. 14 No. 1 (2023): JGED - March 2023
Original scientific paper

Fast mosaicing method based on image resizing pre-processing

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  • Abderrahmane Laraqui,
  • Mohammed Laraqui,
  • Abderrahim Saaidi
Abderrahmane Laraqui
Research in Computer Sciences Laboratory, IMS, Ibn Tofail University, Kenitra, Morocco
Mohammed Laraqui
FP Ouarzazate ibn zohr university BP 32/S, Morocco
Abderrahim Saaidi
LSI, Department of Mathematics, Physics and Informatics Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Morocco
DOI: https://doi.org/10.24867/JGED-2023-1-037

Published 2023-03-01

abstract views: 24 // Full text article (PDF): 46


Keywords

  • Stitching,
  • mosaic,
  • fast,
  • sift,
  • best inliers

How to Cite

Laraqui, A., Laraqui, M., & Saaidi, A. (2023). Fast mosaicing method based on image resizing pre-processing. Journal of Graphic Engineering and Design, 14(1), 37–47. https://doi.org/10.24867/JGED-2023-1-037

Copyright (c) 2023 © 2023 Authors. Published by the University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license 3.0 Serbia.

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

Abstract


In recent years, mosaic images have found great success thanks to the increasing development in the field of imaging as well as the technological evolution of computer systems (camera, mobile, etc.). Mosaic images are obtained by merging several images of the same scene. The process incorporates several steps, each of which requires resources and execution time depending on the size, quality and resolution of the images used. In this paper, we propose a new image mosaic method that significantly reduces the execution time. The idea is to apply the stages of registration and search for the best inliers, necessary for the calculation of the geometric transformation, to the miniature of images. This allows the minimization of the overall processing time without altering the quality of the results. The experiment, on a database of images, shows that the proposed algorithm provides rapid results compared to similar methods. Also, we have extended our method to generate 360° panoramic images.

Article history: Received (March 23, 2022); Revised (August 13, 2022); Accepted (August 31, 2023); Published online (March 1, 2023)

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