Real-Time Multi-Sensor Infrared Imagery Enhancement

B. Stojanovic, Snezana Puzović, Nataša Vlahović, Ranko Petrović, Srđan Stanković
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引用次数: 3

Abstract

Video enhancement algorithms in long-range multi-sensor surveillance systems are of great importance. Infrared sensors typically suffer from blur and noise originating from sensors and their environment. This paper proposes a real-time infrared imaging enhancement algorithm, applicable to multiple sensor types. The research presented in this paper is introductory for developing smart, adaptive, machine learning based enhancement systems.
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实时多传感器红外图像增强
视频增强算法在远程多传感器监控系统中具有重要意义。红外传感器通常会受到来自传感器及其环境的模糊和噪声的影响。本文提出了一种适用于多种传感器类型的实时红外成像增强算法。本文提出的研究是开发智能的、自适应的、基于机器学习的增强系统的入门。
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