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The high-sensitivity electron bombarded active pixel sensor (EBAPS) not only has the characteristics of high gain and high sensitivity of vacuum imaging devices, but also has the digital characteristics of solid-state imaging devices, which greatly improves the level of night vision imaging. A natural color low-level-light EBAPS imaging system was built based on three-color liquid crystal tunable filter (LCTF). According to the characteristics of low-level-light images, the color enhancement processing such as grayscale stretching, white balance, and color correction was performed on the color images obtained by the system. The experimental results show that the system can realize the natural low-illumination color imaging that reflects the color characteristics of the scene itself, which can effectively improve the observation effect of the characteristics of the target scene at night, and can realize the color imaging under 5×10−4 lx illumination. © 2022 Editorial office of Journal of Applied Optics. All rights reserved. 相似文献
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转基因技术对实现作物增产增质,降低农药使用量,降低生产成本等具有重要作用,但对生态环境也存在一定的潜在威胁。为了防止转基因大豆在食品化中的滥用,对转基因产品快速鉴别技术的研究尤为迫切。紫外拉曼光谱检测技术具备外场远距离无损遥测检测,简单高效,快速准确等优点,可有效用于物质遥测鉴别领域。基于紫外拉曼光谱的转基因/非转基因大豆油以及与其他类别食用油鉴别方法,采集了五种不同食用油(两种品牌转基因/非转基因大豆油各500组样本和一种稻米油100组样本,共2 100组样本)在3 500~400 cm-1(268~293 nm)范围内的日盲紫外拉曼光谱信息,为提高光谱数据的信噪比并保证分类识别的准确性,对上述光谱数据采用Savitzky-Golay滤波降噪、基于自适应迭代加权惩罚最小二乘法(airPLS)的基线校正以及多元散射校正(MSC)的光谱数据修正等预处理。根据大豆油的紫外拉曼指纹图谱,分析出主要化学成分包含脂肪类、蛋白质类、酰胺类。将每种大豆油样本按1∶1划分为训练集和测试集,输入训练集数据至支持向量机(SVM)进行训练,采用10折交叉验证建立最佳模型,识别准确率达99.81%,对转基因大豆油的判别效果显著;采用主成分分析法(PCA)进行数据降维处理,提取出8个主成分,累计贡献率为74.84%,可代表大部分原始数据特征。在此基础上,将预处理后的光谱数据按4∶1划分为训练集和测试集,采用偏最小二乘回归判别分析方法(PLS-DA),结合10折交叉验证法建立全谱的最佳PLS-DA模型(判别阈值设置为0.5),判别准确率达到70.95%。研究表明,紫外拉曼光谱分析方法可较为准确地鉴别非转基因/转基因大豆油,同时可鉴别大豆油与稻米油,实现对转基因大豆食品的快速无损鉴别,可望成为转基因大豆油及其食品的现场检测新的技术途径,对推动转基因产品遥测鉴别技术的发展具有进步意义。 相似文献
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For better night-vision applications using the low-light-level visible and infrared imaging, a fusion framework for night-vision context enhancement(FNCE) method is proposed. An adaptive brightness stretching method is first proposed for enhancing the visible image. Then, a hybrid multi-scale decomposition with edge-preserving filtering is proposed to decompose the source images. Finally, the fused result is obtained via a combination of the decomposed images in three different rules. Experimental results demonstrate that the FNCE method has better performance on the details(edges), the contrast, the sharpness, and the human visual perception. Therefore,better results for the night-vision context enhancement can be achieved. 相似文献
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低照度成像系统输出一般都是黑白视频,为了获得更好的夜视实际应用效果,提出了一种基于YUV空间色彩传递的低照度视频图像彩色化及增强的亮度拉伸色彩传递方法.该方法借鉴了双波段色彩传递自然感彩色融合方法,由灰度图像及其负片图像构成初始彩色图像,并对亮度通道进行自适应亮度拉伸,在UV通道进行参考图像的色彩传递,实现灰度图像的自然感彩色化和增强.通过与其他基于色彩传递的彩色化方法比较,亮度拉伸色彩传递方法对参考图像和源图像的相似程度要求较低;选取几幅适当的典型场景彩色参考图像,可对绝大多数场景取得较好的彩色化效果,具有很好的场景环境普适性.同时可以看出,该方法高效,对比度高,颜色协调性好,色彩自然,更有利于人眼的观察感知,对于低照度夜视成像效果提升效果明显.该方法已在硬件平台上实时应用,可在无需增加硬件资源的基础上,有效地应用于低照度夜视成像. 相似文献
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Two comprehensive evaluation metrics, image perceptual quality based on target detectability (PQTD) and perceptual quality based on scene understanding (PQSU), are proposed to measure image quality for visible and infrared color fusion images of typical scenes. A psychophysical experiment is performed to explore the relationship between conventional quality attributes and the proposed evaluation metrics. The prediction models for PQTD and PQSU are derived by multiple linear regression statistical analyses. Results show that the variation of PQTD can be predicted by sharpness and perceptual contrast between the target and background, and that color harmony and sharpness can predict PQSU. The proposed evaluation metrics and their prediction models provide a foundation for further developing objective quality evaluation of color fusion images. 相似文献
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针对红外偏振成像系统,运用等效介质理论,在氟化钙基底上设计了周期为200 nm,深度为100 nm的金属铝栅.模拟计算结果表明,设计的金属铝栅在中红外(3—5 μm)和远红外(8—12 μm)双波段范围内,以及±20°的视场范围内能够提供大于35dB的消光比.利用电子束曝光、反应离子束刻蚀、等离子去胶等工艺完成了金属铝栅的制作.将金属铝栅放在中波红外热像仪前,得到了目标轮廓清晰的偏振图像.
关键词:
亚波长衍射光栅
偏振成像
等效介质理论 相似文献
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