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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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<正>By analyzing the error distribution rule of the boundary recursive reconstruction algorithm in controlled micro-scanning,a sub-pixel image processing algorithm is proposed to reduce the error.The gray statistical principle is used in the algorithm to optimize the error and acquire the sub-pixel image that approximates the original image.The simulation result shows that the effect of this algorithm is better than the oversample and simple boundary recursive algorithm(BRA),and it results in a good effect both in those of visible light and infrared imaging systems.Therefore,the application of this algorithm will enhance the performance of optoelectronic imaging systems. 相似文献
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采用金属氧化物电子传输层(ETL)的聚合物光伏器件在制备完成之初通常性能表现低下, J-V曲线呈异常“S”形. 当器件受白光持续照射后, 该不良状况会逐渐好转, 此过程称为光浴(light-soaking). 光浴现象普遍被认为是ETL界面问题所致. 从器件结构着手, 研究了ZnO 纳米颗粒ETL相邻的两个界面在光浴问题上的作用. 制备了功能层相同的(电极除外)正型、反型器件及复合ETL结构器件, 发现光浴现象仅出现于包含ZnO/ITO界面的反型器件中, 证明该界面是导致光浴现象的主要原因. 分析认为: ZnO颗粒表面O2吸附形成的电子陷阱增加了ITO/ZnO势垒厚度, 使得光生电子无法逾越而成为空间电荷积累, 从而导致器件初始性能不佳. 器件经光照后, ETL内部受激而生的空穴电子对填补了ZnO缺陷, 提升了ETL的电荷选择性并减小了界面势垒厚度, 被束缚的光生电子得以隧穿至ITO电极, 反型器件性能最终得以改善. 相似文献
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图像融合质量客观评价方法 总被引:3,自引:1,他引:3
随着图像融合技术的快速发展,科学的图像融合质量客观评价对选择合理的融合算法以及研究新的融合算法具有重要的指导意义,成为图像质量评价研究的热点。理想的图像质量客观评价方法可以给出与人主观感受相一致的量化指标。对目前已提出的多种图像融合质量客观评价算法进行综述。简要介绍了基本的客观评价指标;将基于边缘保持度、基于结构相似度、基于信息论以及基于对比度的4类客观评价算法分别进行了介绍,着重分析和比较了各类算法的思路及特点;总结融合图像质量客观评价算法的研究趋势,指出无参考图像与彩色融合图像的质量评价方法是未来重要的发展方向。 相似文献