Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41814
Title: Wavelet based image compression
Authors: Mohd Jazli, Jaafar
Dr. Ruzelita Ngadiran
Keywords: Image compression
Wavelet
Digital communication system
Wavelet transform
Issue Date: Jun-2015
Publisher: Universiti Malaysia Perlis (UniMAP)
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.
Description: Access is limited to UniMAP community.
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41814
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf396.28 kBAdobe PDFView/Open
Introduction.pdf192.38 kBAdobe PDFView/Open
Literature Review.pdf235.34 kBAdobe PDFView/Open
Methodology.pdf528.51 kBAdobe PDFView/Open
Results and Discussion.pdf652.13 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf190.34 kBAdobe PDFView/Open
Refference and Appendics.pdf280.07 kBAdobe PDFView/Open


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