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Title Particle swarm optimization-based local entropy weighted histogram equalization for infrared image enhancement
ID_Doc 42032
Authors Wan, MJ; Gu, GH; Qian, WX; Ren, K; Chen, Q; Maldague, X
Title Particle swarm optimization-based local entropy weighted histogram equalization for infrared image enhancement
Year 2018
Published
DOI 10.1016/j.infrared.2018.04.003
Abstract Infrared image enhancement plays a significant role in intelligent urban surveillance systems for smart city applications. Unlike existing methods only exaggerating the global contrast, we propose a particle swam optimization-based local entropy weighted histogram equalization which involves the enhancement of both local details and fore-and background contrast. First of all, a novel local entropy weighted histogram depicting the distribution of detail information is calculated based on a modified hyperbolic tangent function. Then, the histogram is divided into two parts via a threshold maximizing the mterclass variance in order to improve the contrasts of foreground and background, respectively. To avoid over-enhancement and noise amplification, double plateau thresholds of the presented histogram are formulated by means of particle swarm optimization algorithm. Lastly, each sub-image is equalized independently according to the constrained sub-local entropy weighted histogram. Comparative experiments implemented on real infrared images prove that our algorithm outperforms other stateof-the-art methods in terms of both visual and quantized evaluations. (C) 2018 Elsevier B.V. All rights reserved.
Author Keywords Infrared image enhancement; Local entropy weighted histogram; Double plateaus; Particle swarm optimization; Smart city
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000441117700022
WoS Category Instruments & Instrumentation; Optics; Physics, Applied
Research Area Instruments & Instrumentation; Optics; Physics
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