"JOURNAL OF RADIO ELECTRONICS" (Zhurnal Radioelektroniki ISSN 1684-1719, N 9, 2017

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Compensation for image distortions caused by hydrometeors, based on statistical properties of image brightness

V. A. Korotkov, E. P. Novichikhin

Kotel'nikov Institute of Radio-engineering and Electronics of RAS, Fruazino Branch, Vvedensky Sq.1, Fryazino Moscow region 141120, Russia

 

The paper is received on August 26, 2017

 

Abstract. The quality of images of objects in the open area depends on the state of the atmosphere (the presence of atmospheric formations, mainly hydrometeors). The purpose of this work is to increase the degree of discernibility of objects in the image, distorted by the presence of hydrometeors. The goal is achieved by a method based on the Dark Channel Prior method. An important difference of the method used is the refusal of the independence of the brightness of the atmosphere from the position of the pixel. In addition, the estimation of the atmospheric absorption coefficient is made on the basis of the statistical brightness properties in the sprite with the center in the considered pixel. In this paper, we consider the increase in contrast by converting the dynamic range of image brightness based on an estimate of the atmospheric absorption coefficient. To avoid the rapid growth of artifacts caused by the discreteness of pixel brightness, a restriction on increasing the brightness range is introduced. It is proposed to change the brightness normalization according to the presented algorithm, which leads to a sharp increase in the degree of distinguishability of objects in the image distorted by the action of hydrometeors. In order to speed up image processing, bilinear interpolation is used.

Key words: hydrometeors, digital images, dynamic range, enhancement of contrast, improvement of distinguishability of objects.

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For citation:

V. A. Korotkov, E. P. Novichikhin. Compensation for image distortions caused by hydrometeors, based on statistical properties of image brightness. Zhurnal Radioelektroniki - Journal of Radio Electronics, 2017, No. 9. Available at http://jre.cplire.ru/jre/sep17/9/text.pdf. (In Russian)