基于ICCD的微光图像增强算法研究

微光成像技术的核心在于采用不同于传统电荷耦合器件(CCD)的、能够对低光照响应的增强CCD(ICCD)图像传感器来获取目标图像信息。然而，在微光成像时，较差的光照条件与极低的光辐射量将导致目标图像质量（对比度及信噪比等）与正常环境相比有较大程度的下降，从而严重限制了其应用。因此，在分析微光图像特点（低信噪比、低对比度）的基础上，为了改善微光图像的质量和分辨率，提出了一种综合的微光图像增强算法，并且通过室外成像实验证明了该算法的有效性。研究表明，当环境照度降低到0.7 lx以下水平时，该算法依然有效。

Abstract

The key to realize low light level imaging lies in the use of intensified charge coupled device (ICCD) which has a sensitive respond to very low light environment. However, even with the ICCD, the bad lighting condition and very low level optical radiation can make the image quality have a big drop compared with the traditional imaging environment, which severely limits the application of low light level image. Therefore, to improve the quality of low light level image, the characteristics of low light level image are firstly analyzed and then a comprehensive image enhancement algorithm is proposed. The outdoor experiments have been designed and the results demonstrate the effectiveness of the proposed algorithms. It is worth noting that when the radiance level decreases to smaller than 0.7 lx, the algorithm is still effective.

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基于ICCD的微光图像增强算法研究

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