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  1. Journal of Applied Sciences
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  3. 530-533
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Journal of Applied Sciences

Year: 2001 | Volume: 1 | Issue: 4 | Page No.: 530-533
DOI: 10.3923/jas.2001.530.533
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Research Article

Applying Popularity Quantization Algorithms on Color Satellite Images

Dr. Yas Abbas, K. Alsultanny and Dr. Nidal Shilbayeh

ABSTRACT


The real key to the color image processing is to get the right colors of the images. In the RGB (Red, Green, Blue) coordinate, the system of (24) bit used to represent the 16 million true colors. The popularity and the modified popularity quantization methods are applied on the SPOT color satellite images, two appropriate set of representation of 16 and 256 colors are used in the quantization. The developed method of the popularity quantization gives better appearances to the processed images compared with the known methods. The modified popularity quanitzation method gives less reduction in satellite image information compared with popularity quantization method.
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How to cite this article

Dr. Yas Abbas, K. Alsultanny and Dr. Nidal Shilbayeh, 2001. Applying Popularity Quantization Algorithms on Color Satellite Images. Journal of Applied Sciences, 1: 530-533.

DOI: 10.3923/jas.2001.530.533

URL: https://scialert.net/abstract/?doi=jas.2001.530.533

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REFERENCES


  1. Ezzeu, B., 1997. NT4/Window 95 Developer Handbook. Sybex Inc., Netherlands.

  2. Dome Systems, 1999. Look-up Table. Dome Systems Inc., UK.

  3. Van Dam, F. and F. Hanghes, 1995. Computer Graphic: Principle and Practice. Prentice Hall, New York.

  4. Liu, N. and H. Pan, 1994. A solution to the dynamic range problem of pixel values in color image enhancement. Proceedings of ISSIPNN International Symposium on Speech, Image Processing and Neural Networks, April 13-16, Hong Kong, pp: 772-775.
    CrossRef

  5. Sangwine, S.J., 1998. The Color Image Processing Handbook. Chapman and Hall, UK.

  6. Umbaugh, S.E., 1998. Computer Vision and Image Processing. Prentice Hall, Englewood Cliffs, NJ., Pages: 209.

  7. Kruger, A., 1994. Median-cut color quantization. http://www.ddj.com/184409309?pgno=24.

  8. Clark, D., 1995. The popularity algorithm. Dr. Dobb's J., pp: 121-127.

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