Compression of Satellites Images Using Embedded Zero Tree Wavelet
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 u...
| Main Authors: | , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Mosul University
2006-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_164060_27c25c2ca3658bb2543fe22fb28ccd94.pdf |
| _version_ | 1811268028278505472 |
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| author | Ahmed Al-Selifani Faten Mustafa |
| author_facet | Ahmed Al-Selifani Faten Mustafa |
| author_sort | Ahmed Al-Selifani |
| collection | DOAJ |
| description | 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 . |
| first_indexed | 2024-04-12T21:14:33Z |
| format | Article |
| id | doaj.art-0ae442caf8484dffad97388c06e00f35 |
| institution | Directory Open Access Journal |
| issn | 1815-4816 2311-7990 |
| language | Arabic |
| last_indexed | 2024-04-12T21:14:33Z |
| publishDate | 2006-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj.art-0ae442caf8484dffad97388c06e00f352022-12-22T03:16:30ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902006-12-01328910210.33899/csmj.2006.164060164060Compression of Satellites Images Using Embedded Zero Tree WaveletAhmed Al-Selifani0Faten Mustafa1College of Engineering University of Mosul, IraqRemote Sensing Center University of Mosul, IraqThe 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 .https://csmj.mosuljournals.com/article_164060_27c25c2ca3658bb2543fe22fb28ccd94.pdfimages compressionsatellites imagesembedded zero tree wavelet |
| spellingShingle | Ahmed Al-Selifani Faten Mustafa Compression of Satellites Images Using Embedded Zero Tree Wavelet Al-Rafidain Journal of Computer Sciences and Mathematics images compression satellites images embedded zero tree wavelet |
| title | Compression of Satellites Images Using Embedded Zero Tree Wavelet |
| title_full | Compression of Satellites Images Using Embedded Zero Tree Wavelet |
| title_fullStr | Compression of Satellites Images Using Embedded Zero Tree Wavelet |
| title_full_unstemmed | Compression of Satellites Images Using Embedded Zero Tree Wavelet |
| title_short | Compression of Satellites Images Using Embedded Zero Tree Wavelet |
| title_sort | compression of satellites images using embedded zero tree wavelet |
| topic | images compression satellites images embedded zero tree wavelet |
| url | https://csmj.mosuljournals.com/article_164060_27c25c2ca3658bb2543fe22fb28ccd94.pdf |
| work_keys_str_mv | AT ahmedalselifani compressionofsatellitesimagesusingembeddedzerotreewavelet AT fatenmustafa compressionofsatellitesimagesusingembeddedzerotreewavelet |