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dc.contributor.authorMohd Jazli, Jaafar
dc.date.accessioned2016-06-01T08:47:13Z
dc.date.available2016-06-01T08:47:13Z
dc.date.issued2015-06
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41814
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractImages 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.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectImage compressionen_US
dc.subjectWaveleten_US
dc.subjectDigital communication systemen_US
dc.subjectWavelet transformen_US
dc.titleWavelet based image compressionen_US
dc.typeLearning Objecten_US
dc.contributor.advisorDr. Ruzelita Ngadiranen_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US


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