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2017 (Vol. 14, Issue: 2)
Research Article

Color Image Compression Based on Wavelet, Differential Pulse Code Modulation and Quadtree Coding

Ali H. Ahmed and Loay E. George
Department of Computer Science, College of Science, Baghdad University, Baghdad, Iraq

DOI: 10.19026/rjaset.14.3992
Submitted Accepted Published
October 10, 2016 December 30, 2016 February 15, 2017

  How to Cite this Article:

Ali H. Ahmed and Loay E. George, 2017. Color Image Compression Based on Wavelet, Differential Pulse Code Modulation and Quadtree Coding.  Research Journal of Applied Sciences, Engineering and Technology, 14(2): 73-79.

DOI: 10.19026/rjaset.14.3992

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.14.3992


The objective of this study is to introduce a low cost color image lossy color image compression. The RGB image data is transformed to YUV color space, then the chromatic bands U&V are down-sampled using dissemination step. The bi-orthogonal wavelet transform is used to decompose each color sub band, separately. Then, the Differential Pulse-Code Modulation (DPCM) is used to encode the Low-Low (LL) sub band. The other wavelet sub bands are coded using scalar Quantization. Also, the quad-tree coding process is applied on the outcomes of DPCM and quantization processes. Finally, the adaptive shift coding is applied as high order entropy encoder to remove the remaining statistical redundancy to achieve good efficiency in the performance of the compression process. The introduced system was applied on a set of standard color image; the attained compression results indicated good efficiency in terms of compression gain while keeping the fidelity level above the acceptable level.

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    Competing interests

The authors have no competing interests.
    Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


© The Author(s) 2017

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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