Color Image Compression Using Wavelet Compression and Zero-MeanCoding

Authors

  • Nassr Azeez Unit of Remote Sensing, College of Science, University of Baghdad, Baghdad, Iraq
  • Inas Al-Taie Deprtment of Commuter, College of Science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.24996/iraqijournalofscience.v53i4Appendix.12945

Keywords:

Compression, Zero-Mean

Abstract

Thousands pictures require a very large amount of storage. So different
techniques of digital image compression is used to reduce the storage requirements
for these images. In this paper an adaptive compression method applied on color
image. Firstly the color image is transformed to the RGB system, and then converts
the color data to a luminance/chrominance color space (YIQ).The adaptive
compression method is applied on Y. The image may contain a uniform region and
edge region; the uniform regions compress depending on zero-mean coding and the
edge region compress depending on Daubechies wavelet transform, then returned
the final image to RGB system. The proposed algorithms has many advantages
which make it very efficient, these are, low bit rate, low computational complexity,
fast processing and edge preservation with good reconstructed image quality.

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Published

2024-04-26

Issue

Section

Remote Sensing

How to Cite

Color Image Compression Using Wavelet Compression and Zero-MeanCoding. (2024). Iraqi Journal of Science, 53(4Appendix), 924-929. https://doi.org/10.24996/iraqijournalofscience.v53i4Appendix.12945

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