- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Effective Digital Image Colors Reduction/Quantization Method | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 54, Issue 1, 2013, Pages 201-205 | ||
| Authors | ||
| Wejdan A. Amer; Faisel G. Mohamme | ||
| 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. | ||
| Keywords | ||
| quantization; SOM neural network algorithm; Color reduction; Classification | ||
|
Statistics Article View: 47 PDF Download: 4 |
||