Abstract. The differentiation of objects on the images obtained in the open area,
decreases with the presence of hydrometeors in the atmosphere. The degree of
hydrometeors influence on the image of objects is not the same. It can cause
false images (artifacts) to appear on the CLAHE-processed image. In this paper,
a method is proposed that eliminates such artifacts. The purpose of this work
is to increase the degree of the distinguishability of objects on the image
which was distorted by hydrometeors. To achieve this goal, the results of the
CLAHE method are compared with each other when different formats (RGB, HSV, and
CIELAB) are used. In addition, the case of processing images with distortions,
destroying the color balance, is considered.
The
paper shows that the usage of preprocessing for a distorted image, allows
compensating for possible artifacts, arising from the application of the CLAHE
method. It is demonstrated that applying the CLAHE method for color RGB images
to each color component of the image results in less dependence on the color of
the fog (haze, dust, light) (compared to applying the CLAHE method to the HSV
image).
Key words: hydrometeors, digital images, dynamic range, enhancement of contrast,
improvement of distinguishability of objects.
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