Small Target Enhancement in Infrared Image using Local Statistical Weighted Entropy

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NASIRI M.; Chehrehsa S.; MIRMAHDAVI S.A.

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Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2016 | Volume:4 | Issue:2 (14) Page(s): 61-75

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Title

Small Target Enhancement in Infrared Image using Local Statistical Weighted Entropy

Author(s)

NASIRI M. | Chehrehsa S. | MIRMAHDAVI S.A. | Issue Writer Certificate

Keywords

Infrared ImageQ1

Target EnhancementQ1

Clutter SuppressionQ1

EntropyQ1

Detector SystemQ1

Abstract

Small targets Enhancement in Infrared Images are one of the most important issues in the target search and tracking systems. Target Enhancement algorithms Provide more accurate differentiation between the back-ground and target areas in Infrared Images. In this paper, a new method of statistical weighted Entropy has been suggested to suppress background clutters and increasing the contrast between target and clutter background. Local Entropy is the best ways to express image intensity specifications. As a result, statistical-ly weighted Entropy is designed in accordance with the fact that, existence of small target areas cause the major changes in statistically weighted Entropy value in local window of Infrared Image and target areas and background can be easily separated from each other. In first stage, the local Statistical weighted entro-py corresponding to each pixel is calculated. At the end of this stage, background clutters are greatly sup-pressed and target areas are enhanced. In the next step, an automatic enhancement coefficient is used to highlight the targets and create higher contrast between the target area and background clutters. In order to qualitatively and quantitatively evaluation, the proposed algorithm was tested on a set of Infrared Images with 30 different background complex clutters. The results show that the proposed method can well sup-press background clutter, whereas enhance the target area and increase the possibility of detecting and tracking targets.

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APA: Copy

NASIRI, M., Chehrehsa, S., & MIRMAHDAVI, S.A.. (2016). Small Target Enhancement in Infrared Image using Local Statistical Weighted Entropy. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 4(2 (14) ), 61-75. SID. https://sid.ir/paper/243188/en

Vancouver: Copy

NASIRI M., Chehrehsa S., MIRMAHDAVI S.A.. Small Target Enhancement in Infrared Image using Local Statistical Weighted Entropy. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2016;4(2 (14) ):61-75. Available from: https://sid.ir/paper/243188/en

IEEE: Copy

M. NASIRI, S. Chehrehsa, and S.A. MIRMAHDAVI, “Small Target Enhancement in Infrared Image using Local Statistical Weighted Entropy,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 4, no. 2 (14) , pp. 61–75, 2016, [Online]. Available: https://sid.ir/paper/243188/en

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