دورية أكاديمية

Compression of Satellites Images Using Embedded Zero Tree Wavelet

التفاصيل البيبلوغرافية
العنوان: Compression of Satellites Images Using Embedded Zero Tree Wavelet
المؤلفون: Ahmed Al-Selifani, Faten Mustafa
المصدر: Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 3, Iss 2, Pp 89-102 (2006)
بيانات النشر: Mosul University, 2006.
سنة النشر: 2006
المجموعة: LCC:Mathematics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: images compression, satellites images, embedded zero tree wavelet, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
الوصف: The compression technique is an optimal solution for decreasing the amount of information sents out from satellites to earth station with rate transmission. In this paper, a study for the application of embedded zero tree wavelet (EZW) in image compression is incorporated. The study is implemented using the image processing toolbox of Matlab ver 6.5 .The performance of the proposed algorithm is executed and tested using the standard image of Barbara with size 512×512 pixels in bmp format. Different threshold values are used in the proposed algorithm to specify the compression ratio CR. The quality of reconstructed image is measured in terms of PSNR .The recorded results show that there are a trade off between the PSNR and CR and depends on the type of used image .In this work the extraction of the results are focused on two types of local area satellites images .The first image is the Mosul dam area with simple and limited topography .The second image is the Singar area with different and difficult topography .The results show that at threshold of 16 , the CR is a round 1:60 with PSNR more than 34 dB ,for the tested image .
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Arabic
English
تدمد: 1815-4816
2311-7990
Relation: https://csmj.mosuljournals.com/article_164060_27c25c2ca3658bb2543fe22fb28ccd94.pdf; https://doaj.org/toc/1815-4816; https://doaj.org/toc/2311-7990
DOI: 10.33899/csmj.2006.164060
URL الوصول: https://doaj.org/article/0ae442caf8484dffad97388c06e00f35
رقم الأكسشن: edsdoj.0ae442caf8484dffad97388c06e00f35
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18154816
23117990
DOI:10.33899/csmj.2006.164060