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Adaptive Enhancement Techniques for Solar Images

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DOI: 10.4236/jsip.2013.44045    2,960 Downloads   4,647 Views   Citations

ABSTRACT

Radio astronomy radio telescope plays the role of a linear operator, affecting the function that describes the object of research, formation of image of a monitored object. This paper presents methods for reconstruction and correction of solar radio images using the algorithm of rejections, the updated Weiner-filter, and the method CLEAN designed by Hegbomom (Pseudonym, 2009) for point sources. It is the process of numerical convolution in signal handling, an algorithm for separating weak-contrast formations on the solar which represents most points of the actual limb by using the ellipse equation. Consequently, the filling algorithm is applied by moving from the center to the ellipse points and filling each point by solar image data. Finally, a linear limb-darkening expression is used to remove the limb darkening. Different examples of the intermediate and final results are presented in addition to the developed algorithm.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

M. Al-Rababah, A. Al-Marghilani, M. Al-Shomrani and I. A. Atoum, "Adaptive Enhancement Techniques for Solar Images," Journal of Signal and Information Processing, Vol. 4 No. 4, 2013, pp. 359-363. doi: 10.4236/jsip.2013.44045.

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