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dc.contributor.authorKolo, J. G.-
dc.contributor.authorseng, K. P.-
dc.contributor.authorAng, L.-M-
dc.contributor.authorPrabaharan, SRS-
dc.date.accessioned2021-07-12T13:48:20Z-
dc.date.available2021-07-12T13:48:20Z-
dc.date.issued2011-
dc.identifier.citationJ. G. Kolo, K. P. Seng, L.-M. Ang, SRS. Prabaharan, "Data Compression Algorithms for Visual Information", In: Communications in Computer and Information Science (CCIS), Volume 253(7), pp.484-497. Springer-Verlag Berlin Heidelberg 2011. (ISI/SCOPUS Cited Publication). http://www.springerlink.com/content/wl46t1mw16257445/en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/8792-
dc.description.abstractAudio-visual information is one of the richest but also most bandwidth-consuming modes of communication. To meet the requirements of new applications, powerful data compression schemes are needed to reduce the global bit rate drastically. In this paper, we proposed a simple lossless visual image compression scheme that will be used to compress visual images. In this scheme, the two dimensional visual image data is converted to a one dimensional data using our proposed pixel scanning method. The difference between consecutive pixel values in the resulting one dimensional image data is taken and the residues are encoded losslessly using an entropy encoder. The working principles of this our approach is presented together with the image compression algorithm used. We developed a software algorithm and implemented it to compress some standard test images using Huffman style coding techniques in a MATLAB platform.en_US
dc.language.isoenen_US
dc.subjectLossless Image Compressionen_US
dc.subjectHuffman codingen_US
dc.subjectAudio-Visual informationen_US
dc.subjectWireless Sensor Networken_US
dc.titleData Compression Algorithms for Visual Informationen_US
dc.typeArticleen_US
Appears in Collections:Electrical/Electronic Engineering

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