Data Compression Algorithms for Visual Information

Jonathan Gana Kolo, Kah Phooi Seng, Li-Minn Ang, S. R. S. Prabaharan

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

Audio-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.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Informatics Engineering and Information Science
Subtitle of host publicationICIEIS 2011
EditorsAzizah Abd Manaf, Shamsul Sahibuddin, Rabiah Ahmad, Salwani Modh Daud, Eyas El-Qawashmeh
Place of PublicationBerlin
PublisherSpringer
Chapter44
Pages484-497
Number of pages14
Volume253
ISBN (Electronic)978-3-642-25462-8
ISBN (Print)9783642254611
DOIs
Publication statusPublished - 2011
EventInternational Conference on Informatics Engineering and Information Science: ICIEI 2011 - Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Duration: 14 Nov 201116 Nov 2011
http://icieis2011.sdiwc.us/ (Event home page)

Publication series

NameCommunications in Computer and Information Science

Conference

ConferenceInternational Conference on Informatics Engineering and Information Science
CountryMalaysia
CityKuala Lumpur
Period14/11/1116/11/11
Internet address

Cite this

Kolo, J. G., Seng, K. P., Ang, L-M., & Prabaharan, S. R. S. (2011). Data Compression Algorithms for Visual Information. In A. Abd Manaf, S. Sahibuddin, R. Ahmad, S. Modh Daud, & E. El-Qawashmeh (Eds.), Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011 (Vol. 253, pp. 484-497). (Communications in Computer and Information Science). Berlin: Springer. https://doi.org/10.1007/978-3-642-25462-8_44
Kolo, Jonathan Gana ; Seng, Kah Phooi ; Ang, Li-Minn ; Prabaharan, S. R. S. / Data Compression Algorithms for Visual Information. Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. editor / Azizah Abd Manaf ; Shamsul Sahibuddin ; Rabiah Ahmad ; Salwani Modh Daud ; Eyas El-Qawashmeh. Vol. 253 Berlin : Springer, 2011. pp. 484-497 (Communications in Computer and Information Science).
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title = "Data Compression Algorithms for Visual Information",
abstract = "Audio-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.",
keywords = "Lossless Image Compression, Huffman coding, Audio-Visual information, Wireless Sensor Network",
author = "Kolo, {Jonathan Gana} and Seng, {Kah Phooi} and Li-Minn Ang and Prabaharan, {S. R. S.}",
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Kolo, JG, Seng, KP, Ang, L-M & Prabaharan, SRS 2011, Data Compression Algorithms for Visual Information. in A Abd Manaf, S Sahibuddin, R Ahmad, S Modh Daud & E El-Qawashmeh (eds), Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. vol. 253, Communications in Computer and Information Science, Springer, Berlin, pp. 484-497, International Conference on Informatics Engineering and Information Science, Kuala Lumpur, Malaysia, 14/11/11. https://doi.org/10.1007/978-3-642-25462-8_44

Data Compression Algorithms for Visual Information. / Kolo, Jonathan Gana; Seng, Kah Phooi; Ang, Li-Minn; Prabaharan, S. R. S.

Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. ed. / Azizah Abd Manaf; Shamsul Sahibuddin; Rabiah Ahmad; Salwani Modh Daud; Eyas El-Qawashmeh. Vol. 253 Berlin : Springer, 2011. p. 484-497 (Communications in Computer and Information Science).

Research output: Book chapter/Published conference paperConference paper

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AU - Kolo, Jonathan Gana

AU - Seng, Kah Phooi

AU - Ang, Li-Minn

AU - Prabaharan, S. R. S.

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N2 - Audio-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.

AB - Audio-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.

KW - Lossless Image Compression

KW - Huffman coding

KW - Audio-Visual information

KW - Wireless Sensor Network

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SN - 9783642254611

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BT - Proceedings of the International Conference on Informatics Engineering and Information Science

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PB - Springer

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Kolo JG, Seng KP, Ang L-M, Prabaharan SRS. Data Compression Algorithms for Visual Information. In Abd Manaf A, Sahibuddin S, Ahmad R, Modh Daud S, El-Qawashmeh E, editors, Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. Vol. 253. Berlin: Springer. 2011. p. 484-497. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-25462-8_44