- 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
Multi Focus Image Fusion Using Statistical Approaches | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 28, Issue 2, 2010, Pages 356-368 PDF (594.86 K) | ||
| DOI: 10.30684/etj.28.2.13 | ||
| Authors | ||
| Rana F. Ghani; Abdulameer A. Kareem | ||
| Abstract | ||
| Pictures of the long focal lengths cameras, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all objects in the picture. In this work, the problem of multi focus is solved by taking several pictures with different focus points, and then fusing them together to form a single image using image fusion method. Contrast of the source images is used as a measure to select the proper pixels (pixels with high focus) to obtain the fused (output) image. This work suggests using three statistical measures of contrast to calculate the pixels gradient magnitude. Those three measures are applied and compared with the traditional method of gradient magnitude measures (Sobel and Perwit) in Multi focus Image Fusion. The results show that the modified methods gave better results than Sobel and Perwit methods. | ||
| Keywords | ||
| Multi Focus Image; Image Fusion; Statistic | ||
|
Statistics Article View: 323 PDF Download: 194 |
||