Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion
https://doi.org/10.35596/1729-7648-2024-22-1-108-115
Abstract
The problem of compression of the dynamic range of infrared images is considered. To improve the quality of tone mapping of infrared images when their dynamic range is compressed and to simplify the control over the reproduction characteristics of infrared images, a dynamic range conversion algorithm based on adaptive histogram equalization with edge inversion is proposed. The essence of the algorithm consists in double reduction of the dynamic range of the infrared image with intermediate stretching, compression and overlapping of edges with inversion. To select the brightness interval and the degree of its stretching, the proposed algorithm uses the asymmetry coefficient. The algorithm makes it possible to improve some global and interval indicators of image reproduction quality by superimposing the edges of the histogram.
About the Authors
S. I. Rudikov
Science and Technology Center “LEMT” BelOMO
Belarus
Belarus
M. of Sci., Deputy Director for Information Technologies Deputy Director
Minsk
V. Yu. Tsviatkou
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Tsviatkou Viktar Yur’evich, Dr. of Sci. (Tech.), Associate Professor, Head of the Department of Infocommunication Technologies
220013, Minsk, P. Brovki St., 6
Tel.: +375 17 293-84-08
A. P. Shkadarevich
Science and Technology Center “LEMT” BelOMO
Belarus
Belarus
Academician of the National Academy of Science of Belarus, Dr. of Sci. (Phys. and Math.), Professor, Director
Minsk
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Review
For citations:
Rudikov S.I., Tsviatkou V.Yu., Shkadarevich A.P. Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion. Doklady BGUIR. 2024;22(1):108-115. (In Russ.) https://doi.org/10.35596/1729-7648-2024-22-1-108-115
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