Research of Aviation Image Multiplication Based on the Fractal Interpolation Algorithm

Abstract:

The resolution of aerial images was low, because the aviation aerospace camera was far from the scenery when shooting. In order to see the object of the aviation images clearly,the aviation images should be enlarged to improve the resolution . As the complexity and irregularity of the aerial images, the texture features is lost and considerable error is caused by using the traditional methods. In this article, the fractal interpolation has been used to enlarge the images, which can not only overcome the shortcoming of the linear interpolation, but also maintain the fine texture features of the original images, which is helpful to obtain higher accuracy than the traditional interpolation.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 3225-3229
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.3225
• Online since: December 2010
• Authors: Qiu Shui Yu, Zhi Yong An, Tong Pan, Yu Han Gao
• Keywords: Aviation Image, Fractal Interpolation, Geometrical Optics, Image Multiplication

References

[1] B. Mandelbrot, The Fractal Geometry of Nature, Freeman, San. Francisco, (1982).

[2] S. K Mitra C.A. Murthy M.K. Kundu, Technique for Fractal Image Compression Using Genetic Algorithm, IEEE Trans. on Image Processing, Apr. 1998: 586-593.

DOI: 10.1109/83.663505

[3] Jiang Wenhua, Yu Xinrui, Wang Shigang. A SUBPIXEL ALGORITHM OF OMPLEX IMAGE BASED ON FRACTAL INTERPOLATION. Computer Applications and Software, 2005, 22(2): 85.

[4] Pentland A.P. Fractal-Based Description of Nature Scenes. IEEE Trans on Pattern Analysis and Machine Intelligence, Nov. 1984: 661-673.

DOI: 10.1109/tpami.1984.4767591