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Image compression using Modified Fuzzy Adaptive Resonance Theory | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 12, Volume 6, Issue 3, 2009, Pages 151-160 PDF (525.45 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2009.163829 | ||
| Author | ||
| Ielaf O. abdl-majjed | ||
| College of Computer Sciences and Mathematics University of Mosul, Iraq | ||
| Abstract | ||
| This research developed a software which can be used for image compression. This research proposes two methods: the first uses Joint Photographic Experts Group (JPEG), while the second uses artificial neural network (Modified Fuzzy Adaptive Resonance Theory (MFART)) algorithm. This software is applied on two types of images (jpeg and tiff). Several parameters in compression methods are tested, the results reveal that the MFART is better than the JPEG metod. The Root Mean Square Error (ERMS) for MFART method on jpeg image is equal 3.7 but it is equal to 26.09 when JPEG method implement on to the same image. MATLAB has been used in the implementation of this software. | ||
| Keywords | ||
| Image Compression; Modified Fuzzy Adaptive Resonance Theory | ||
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