Image compression based on fixed predictor multiresolution thresholding of linear polynomial nearlossless techniques
Joint Authors
al-Khafaji, Ghadah Kazim Tumah
Abbas, Shayma Fadil
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 9, Issue 2 (31 Dec. 2017), pp.35-44, 10 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Image compression is a serious issue in computer storage and transmission, that simply makes efficient use of redundancy embedded within an image itself; in addition, it may exploit human vision or perception limitations to reduce the imperceivable information Polynomial coding is a modern image compression technique based on modelling concept to remove the spatial redundancy embedded within the image effectively that composed of two parts, the mathematical model and the residual.
In this paper, two stages proposed technqies adopted, that starts by utilizing the lossy predictor model along with multiresolution base and thresholding techniques corresponding to first stage.
Latter by incorporating the near lossless compression scheme of first stage that corresponding to second stage.
The tested results shown are promising in both two stages, that implicilty enhanced the performance of traditional polynomial model in terms of compression ratio , and preresving image quality.
American Psychological Association (APA)
al-Khafaji, Ghadah Kazim Tumah& Abbas, Shayma Fadil. 2017. Image compression based on fixed predictor multiresolution thresholding of linear polynomial nearlossless techniques. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 9, no. 2, pp.35-44.
https://search.emarefa.net/detail/BIM-795365
Modern Language Association (MLA)
al-Khafaji, Ghadah Kazim Tumah& Abbas, Shayma Fadil. Image compression based on fixed predictor multiresolution thresholding of linear polynomial nearlossless techniques. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 9, no. 2 (2017), pp.35-44.
https://search.emarefa.net/detail/BIM-795365
American Medical Association (AMA)
al-Khafaji, Ghadah Kazim Tumah& Abbas, Shayma Fadil. Image compression based on fixed predictor multiresolution thresholding of linear polynomial nearlossless techniques. al-Qadisiyah Journal for Computer Science and Mathematics. 2017. Vol. 9, no. 2, pp.35-44.
https://search.emarefa.net/detail/BIM-795365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 43
Record ID
BIM-795365