Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41814
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mohd Jazli, Jaafar | - |
dc.date.accessioned | 2016-06-01T08:47:13Z | - |
dc.date.available | 2016-06-01T08:47:13Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41814 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements.A visual information given by a digital image consumes enormous storage capacity. For the efficient transmission of an image across a channel, source coding in the form of image compression at the transmitter side and the image recovery at the receiver side are the integral process involved in any digital communication system. It is necessary to represent a digital image with the smallest possible number of bits without suffering any information loss as well as speeding up the transmission and minimizing storage requirement. This analysis employs Wavelet Transform to compress still image as this technique currently provide the most promising approach to high quality image compression. It also intended to reduce memory usage and complexity in wavelet-based image coding, while preserving compression efficiency. Experimental results demonstrate that the proposed technique provides sufficient high compression ratios. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Image compression | en_US |
dc.subject | Wavelet | en_US |
dc.subject | Digital communication system | en_US |
dc.subject | Wavelet transform | en_US |
dc.title | Wavelet based image compression | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr. Ruzelita Ngadiran | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 396.28 kB | Adobe PDF | View/Open | |
Introduction.pdf | 192.38 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 235.34 kB | Adobe PDF | View/Open | |
Methodology.pdf | 528.51 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 652.13 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 190.34 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 280.07 kB | Adobe PDF | View/Open |
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