Effective Digital Image Colors Reduction/Quantization Method

Authors

  • Faisel Mohamme Department of Computer Science, University of Baghdad, College of Science, Baghdad, Iraq
  • Wejdan Amer Department of Computer Science, University of Baghdad, College of Science, Baghdad, Iraq

Keywords:

Quantization, , SOM neural network algorithm, , Color reduction, , Classification.

Abstract

In the current research work, a method to reduce the color levels of the pixels within digital images was proposed. The recent strategy was based on self organization map neural network method (SOM). The efficiency of recent method was compared with the well known logarithmic methods like Floyd-Steinberg (Halftone) dithering and Octtrees (Quadtrees) methods. Experimental results have shown that by adjusting the sampling factor can produce higher-quality images with no much longer run times, or some better quality with shorter running times than existing methods. This observation refutes the repeated neural networks is necessarily slow but have best results. The generated quantization map can be exploited for color image compression, classification, or to edit the color palette for different image graphical applications.

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Published

2023-12-30

Issue

Section

Computer Science

How to Cite

Effective Digital Image Colors Reduction/Quantization Method. (2023). Iraqi Journal of Science, 54(1), 201-205. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/12060

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