一种自适应红外图像增强技术

Abstract

Abstract:

As for the inadequate contrast of infrared thermal imaging, as S curve mapping function is proposed to enhance target objectives and in the meantime suppress background clutters, which has the same range of domain with a variable interval and a non-symmetrical inflection point. With the need of adaptive enhancement for the changing scene, a dynamic self-adaptive model is proposed to adjust the parameters of the S curve based on the scene. By using the threshold and modulation of histogram as the input parameters and the parameters of the enhancement algorithm as the outputs, the coefficients of the model is determined based on typical samples of data through the artificial neural network BP algorithm, with the application showing that this approach is effective.

Key words: infrared imaging, background suppression, image enhancement, adaptive, BP algorithm

CLC Number:

TN911.73

KOU Xiao-ming;LIU Shang-qian;HONG Ming;WANG Da-bao. Approach for adaptive infrared thermal image enhancement[J].J4, 2009, 36(6): 1070-1074.

References

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Approach for adaptive infrared thermal image enhancement

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