- 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
Impulsive Noise Removal based on Neural Network Schemes | ||
| Basrah Journal for Engineering Science | ||
| Article 1, Volume 10, Issue 2, 2010, Pages 76-89 PDF (0 K) | ||
| Authors | ||
| Sarah Behnam Aziz; Abdul-Kareem Younis; Turke Y.Abdalla | ||
| Abstract | ||
| Interest in neural networks as an alternative to the conventional algorithmic techniques has grown rapidly in recent years. Noise removal or noise suppression is an important task in image processing. In general, the results of the noise removal have a strong influence on the quality of the following image processing techniques. In this paper, two feed forward NN schemes have been presented for impulsive noise removal. The computation is reduced by using an artificial image in training. Results of NN schemes show high performance especially when the ratio of impulsive noise in testing are the same or greater than that of training image. The presented schemes are used for grayscale and also for truecolor. | ||
|
Statistics Article View: 177 PDF Download: 35 |
||