- 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
RECONSTRUCTION OF SATELLITE IMAGES USING MODIFIED STATISTICAL ITERATIVE TECHNIQUE | ||
| Journal of Al-Nahrain University - Science | ||
| Article 1, Volume 10, Issue 1, 2007, Pages 60-72 | ||
| Author | ||
| Ayad A. Al-Ani | ||
| Abstract | ||
| Modified Statistical Iterative Technique has been adapted to reconstruct satellite images. The adopted technique removes some of the assumptions used in the derivation of the Wiener filtering solution. Most obviously, the iterative approach we develop will require no assumptions about the underlying image generation process. The adapted filter was designed for reconstructing satellite images that are blurred with space-invariant blurring function corrupted with additive noise. Different degradation parameters, i.e. different width of blurring function and different signal to noise ratio were considered. The results using an adaptive technique were compared, quantitatively, using mean square error (MSE). Results shows that this method has better performance for reconstructing the degraded satellite images. | ||
|
Statistics Article View: 84 PDF Download: 71 |
||