Data compression algorithms for visual information

J Gana Kolo; K P Seng; Li-Minn Ang; S R S Prabaharan

doi:10.1007/978-3-642-25462-8_44

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Data compression algorithms for visual information

Conference paper

Peer reviewed

Data compression algorithms for visual information

J Gana Kolo, K P Seng, Li-Minn Ang and S R S Prabaharan

International Conference on Informatics Engineering and Information Science: International Conference, ICIEIS 2011, Kuala Lumpur, Malaysia, November 12-14, 2011. Proceedings, Part II, pp.484-497

International Conference on Informatics Engineering and Information Science, ICIEIS 2011, 2011 (Kuala Lumpur, Malaysia, 14-Nov-2011–16-Nov-2011)

Communications in Computer and Information Science, 253, Springer Berlin

2011

DOI: https://doi.org/10.1007/978-3-642-25462-8_44

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Abstract

Audio-Visual information

Huffman coding

Lossless Image Compression

Wireless Sensor Network

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.

Details

Title: Data compression algorithms for visual information
Authors: J Gana Kolo (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
S R S Prabaharan (Author) - University of Nottingham Malaysia Campus
Publication details: International Conference on Informatics Engineering and Information Science: International Conference, ICIEIS 2011, Kuala Lumpur, Malaysia, November 12-14, 2011. Proceedings, Part II, pp.484-497
Conference details: International Conference on Informatics Engineering and Information Science, ICIEIS 2011, 2011 (Kuala Lumpur, Malaysia, 14-Nov-2011–16-Nov-2011)
Series: Communications in Computer and Information Science; 253
Publisher: Springer Berlin
Date published: 2011
DOI: 10.1007/978-3-642-25462-8_44; 10.1007/978-3-642-25453-6
ISSN: 1865-0937; 1865-0929
ISBN: 9783642254536
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513792702621
Output Type: Conference paper

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