The Method of Representing Grayscale Images in Pseudo Color Using Equal-Contrast Color Space

There are many applications, including, for example, Earth remote sensing systems based on satellites or UAVs, which receive low-contrast images with a large dynamic range. Visual analysis of such data is complicate due to psychophysiological limitations, therefore, coloring of such images in pseudo...

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Bibliographic Details
Published in:	2020 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 6
Main Authors:	Potashnikov, A. M., Vlasuyk, I. V., Ivanchev, V.V., Balobanov, A. V.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-03-2020
Subjects:	Brightness Equal Contrast Color Space Grayscale Heat map Image color analysis Image recognition Path Finding Prototypes Pseudo Color Satellite broadcasting Visualization
Online Access:	Get full text
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Summary:	There are many applications, including, for example, Earth remote sensing systems based on satellites or UAVs, which receive low-contrast images with a large dynamic range. Visual analysis of such data is complicate due to psychophysiological limitations, therefore, coloring of such images in pseudo color is used. In this paper, we propose optimization of the process of converting images into pseudo color. To ensure the equal distinguishability of the shades of gray, regardless of the brightness of the recognizable detail of the original image, it is proposed to display the gradations of gray by converting them into pseudo color obtained by traversing the grid in an equal-contrast color space developed at the Department of Television and Audio Broadcasting of MTUCI. The work contains a selection of options for such a traverse of the color space with a fixed brightness value. Thus, the modulation of the brightness value can be further used to add additional information to the resulting image in arbitrary colors. The report presents the results of evaluating the effectiveness of the proposed conversion method in the form of a completely subjective assessment, as well as in the variant of visual determination of the coefficient of visibility of the brightness difference in a specially prepared test image.
DOI:	10.1109/IEEECONF48371.2020.9078584