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An Efficient Adaptive Denoising Algorithm for Remote Sensing Images
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-13
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Typically, after the capturing, imaging, and transferring processes have been accomplished, the digital images will contain a variety of noise, caused by both the equipment itself and by the complex working environment.
Consequently, it is necessary to perform a de-noising process to facilitate the extraction of useful information.
This paper presents a fast and efficient denoising algorithm, which combines the advantages of traditional median filters and weighted filter algorithms.
In this algorithm, the noise in the figure is determined, and those results are applied to adaptively change the size of the window, while assigning different weights to the pixels in the filter window.
The experimental results show that we can significantly remove almost all salt and pepper noise, while retaining full image textures, edges, and other minutiae.
American Psychological Association (APA)
Qu, Xiujie& Zhang, Fu& Jia, Huan. 2013. An Efficient Adaptive Denoising Algorithm for Remote Sensing Images. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1031739
Modern Language Association (MLA)
Qu, Xiujie…[et al.]. An Efficient Adaptive Denoising Algorithm for Remote Sensing Images. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1031739
American Medical Association (AMA)
Qu, Xiujie& Zhang, Fu& Jia, Huan. An Efficient Adaptive Denoising Algorithm for Remote Sensing Images. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1031739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031739