Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578981
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSuhaidi Shafie (UPM)
dc.contributor.authorHalah Saadoon Shihab (UPM)
dc.contributor.authorFauzan Ahmad (UTM)
dc.contributor.authorA. R. Ramli (UPM)
dc.date.accessioned2023-11-06T03:11:51Z-
dc.date.available2023-11-06T03:11:51Z-
dc.date.issued2017-02
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116371
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578981-
dc.descriptionDiscrete Wavelet Transform (DWT)-based image compression techniques have been utilized in most of the earth observation (EO) satellites launched during the last few decades, since they have proved to be more efficient than other methods used previously with remote sensing multispectral imaging payloads. The efficiency of these techniques is mainly due to their high compression ratio that can be achieved while maintaining the quality of the compressed image. Also, they are considered multi-resolution compression techniques. However, these techniques are considered computationally demanding, due to their complex and sophisticated hardware. Due to the limited computational resources available on-board small satellites, they are considered one of the important criteria when choosing the satellite image compression method, along with the compression ratio and quality of the reconstructed image. Hence, an alternative DWT-based method was proposed, developed and implemented in this work with the aim of reducing the computational resources on-board a small satellite, replacing the regular DWT thresholding and quantization processes that are usually used to achieve lossy compression, with the zero-padding technique. This method will also help to control the change in the compression ratio and quality of the reconstructed image according to the end-user’s scientific needs of the satellite image. The results of this work indicated, objectively and subjectively, that a decrease in the computational resources required on-board satellites was achieved by decreasing the processing time needed to complete the compression, without a significant difference in quality of the image reconstructed at the ground station.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-S-2
dc.rightsUKM
dc.subjectSatellite images
dc.subjectRemote sensing
dc.subjectImage compression
dc.subjectDiscrete Wavelet Transform
dc.titleZero-padding in dwt satellite image compression
dc.typeJournal Article
dc.format.volume25
dc.format.pages205-214
dc.format.issueSpecial Issue
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

Files in This Item:
File Description SizeFormat 
ukmvital_116371+Source01+Source010.PDF909.17 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.