Performance analysis of noise removal techniques for digital images
Joint Authors
al-Awsi, Wasan A.
Ulaywi, Zahra Jaffat
Fadil, Maytham K.
Hadi, Haydar M.
Hadi, Nagham K.
Ulwan, Ali H.
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 12, Issue 1 (31 Mar. 2020), pp.15-25, 11 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Noise has impairment effect on image so it destroys its information.
In order to overcome this problem, it is necessary to remove noise before extracting information and image processing as one of the preprocessing steps.
A brief overview of various sources and types of image noise as well as noise removal technique of digital images has been produced in this paper.
The general idea of this paper is to perform segmentation of the corrupted image before using noise removal filter.
Noise removal filter has been used to eliminate noise for each segment of image individually after segmentation process.
Then comparative study between noise removal filtering for whole image and segmentation based method has been produced with performance analysis in terms of MSE and PSNR.
In this paper, MSE and PSNR are calculated for the resultant reconstructed image compared with the original image.
Six image samples are used to test the Segmentation based noise removal approach.
The segmentation based technique has shown best results in terms of MSE and PSNR in comparison with traditional noise removal method based filter.
American Psychological Association (APA)
al-Awsi, Wasan A.& Ulaywi, Zahra Jaffat& Ulwan, Ali H.& Fadil, Maytham K.& Hadi, Haydar M.& Hadi, Nagham K.. 2020. Performance analysis of noise removal techniques for digital images. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 12, no. 1, pp.15-25.
https://search.emarefa.net/detail/BIM-1264351
Modern Language Association (MLA)
Ulwan, Ali H.…[et al.]. Performance analysis of noise removal techniques for digital images. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 12, no. 1 (2020), pp.15-25.
https://search.emarefa.net/detail/BIM-1264351
American Medical Association (AMA)
al-Awsi, Wasan A.& Ulaywi, Zahra Jaffat& Ulwan, Ali H.& Fadil, Maytham K.& Hadi, Haydar M.& Hadi, Nagham K.. Performance analysis of noise removal techniques for digital images. al-Qadisiyah Journal for Computer Science and Mathematics. 2020. Vol. 12, no. 1, pp.15-25.
https://search.emarefa.net/detail/BIM-1264351
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 24-25
Record ID
BIM-1264351