Compression of astronomical image using five modulus method
Other Title(s)
ضبط الصورة الفلكية باستخدام طريقة خمسة معاملات
Joint Authors
Shnain, Sayf Kamil
Khanjar, Ibtisam Fadil
Abbas, Ban Abd al-Razzaq
Source
Issue
Vol. 57, Issue 2C (30 Jun. 2016), pp.1566-1571, 6 p.
Publisher
University of Baghdad College of Science
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Topics
- Astronomy
- Observations
- Mathematical models
- Image processing
- Computer vision
- Modules(Algebra)
- Image compression
Abstract EN
The computer vision branch of the artificial intelligence field is concerned with developing algorithms for analyzing image content.
Data may be compressed by reducing the redundancy in the original data, but this makes the data have more errors.
In this paper image compression based on a new method that has been created for image compression which is called Five Modulus Method (FMM).
The new method consists of converting each pixel value in an (4 x 4, 8 × 8, 16 x 16) block into a multiple of 5 for each of the R, G and B arrays.
After that, the new values could be divided by 5 to get new values which are 6-bit length for each pixel and it is less in storage space than the original value which is 8-bits.
American Psychological Association (APA)
Khanjar, Ibtisam Fadil& Shnain, Sayf Kamil& Abbas, Ban Abd al-Razzaq. 2016. Compression of astronomical image using five modulus method. Iraqi Journal of Science،Vol. 57, no. 2C, pp.1566-1571.
https://search.emarefa.net/detail/BIM-699744
Modern Language Association (MLA)
Khanjar, Ibtisam Fadil…[et al.]. Compression of astronomical image using five modulus method. Iraqi Journal of Science Vol. 57, no. 2C (2016), pp.1566-1571.
https://search.emarefa.net/detail/BIM-699744
American Medical Association (AMA)
Khanjar, Ibtisam Fadil& Shnain, Sayf Kamil& Abbas, Ban Abd al-Razzaq. Compression of astronomical image using five modulus method. Iraqi Journal of Science. 2016. Vol. 57, no. 2C, pp.1566-1571.
https://search.emarefa.net/detail/BIM-699744
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-699744