An improved richardson-lucy algorithm based on genetic approach for satellite image restoration
Joint Authors
Aouinti, Fuad
Nasri, Mubarak
Musawi, Maymun
Bouali, Bouchta
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 4 (31 Jul. 2018)6 p.
Publisher
Publication Date
2018-07-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
In the process of satellite imaging, the observed image is blurred by optical system and atmospheric effects and corrupted by additive noise.
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem.
In the literature, a number of image restoration methods have been proposed to reconstruct an approximated version of the original image from a degraded observation.
The iterative method known as Richardson-Lucy deconvolution has demonstrated its effectiveness to compensate for these degradations.
The efficiency of this method obviously depends on the iteration count that has a direct impact on the expected result.
This decisive and virtually unknown parameter leads to the estimation of approximate values which may affect the quality of the restored image.
In this paper, the idea consists of optimizing the iteration count of the Richardson-Lucy deconvolution by applying the genetic approach in order to get a better restoration of the degraded satellite image
American Psychological Association (APA)
Aouinti, Fuad& Nasri, Mubarak& Musawi, Maymun& Bouali, Bouchta. 2018. An improved richardson-lucy algorithm based on genetic approach for satellite image restoration. The International Arab Journal of Information Technology،Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839083
Modern Language Association (MLA)
Aouinti, Fuad…[et al.]. An improved richardson-lucy algorithm based on genetic approach for satellite image restoration. The International Arab Journal of Information Technology Vol. 15, no. 4 (Jul. 2018).
https://search.emarefa.net/detail/BIM-839083
American Medical Association (AMA)
Aouinti, Fuad& Nasri, Mubarak& Musawi, Maymun& Bouali, Bouchta. An improved richardson-lucy algorithm based on genetic approach for satellite image restoration. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839083