转镜式高速相机扫描速度及其不均匀性测量

介绍了高速相机扫描速度不均匀性产生的原因、扫描速度测量的方法，简要地介绍了测量系统的工作原理，测时精度达到３ｎｓ，测速精度达到 ３，最后给出了测量 ＧＳＪ型和ＳＪＺ－１５型相机的结果。     

Single image non-uniformity correction using compressive sensing

A non-uniformity correction (NUC) method for an infrared focal plane array imaging system was proposed. The algorithm, based on compressive sensing (CS) of single image, overcame the disadvantages of “ghost artifacts” and bulk calculating costs in traditional NUC algorithms. A point-sampling matrix was designed to validate the measurements of CS on the time domain. The measurements were corrected using the midway infrared equalization algorithm, and the missing pixels were solved with the regularized orthogonal matching pursuit algorithm. Experimental results showed that the proposed method can reconstruct the entire image with only 25% pixels. A small difference was found between the correction results using 100% pixels and the reconstruction results using 40% pixels. Evaluation of the proposed method on the basis of the root-mean-square error, peak signal-to-noise ratio, and roughness index (ρ) proved the method to be robust and highly applicable.     

An evaluation method based on absolute difference to validate the performance of SBNUC algorithms

Scene-based non-uniformity correction (SBNUC) algorithms are an important part of infrared image processing; however, SBNUC algorithms usually cause two defects: (1) ghosting artifacts and (2) over-correction. In this paper, we use the absolute difference based on guided image filter (AD-GF) method to validate the performance of SBNUC algorithms. We obtain a self-separation source using the improved guided image filter to process the input image, and use the self-separation source to obtain the space-high-frequency parts of the input image and the corrected image. Finally, we use the absolute difference between the two space-high-frequency parts as the evaluation result. Based on experimental results, the AD-GF method has better robustness and can validate the performance of SBNUC algorithms even if ghosting artifacts or over-correction occur. Also the AD-GF method can measure how SBNUC algorithms perform in the time domain, it’s an effective evaluation method for SBNUC algorithm.     

一种基于场景的红外图像非均匀性校正算法

提出了一种基于场景的红外图像非均匀性校正算法。该算法结合了两点定标校正算法和基于场景的改进的恒定统计算法,将两点校正算法的校正系数作为恒定统计算法的系数初值,并引入阈值进行运动状态检测,对运动场景和非运动场景分别进行系数更新。实验表明,该算法可以实现对红外图像非均匀性的校正,对于本文实验中的视频图像,在100帧时算法收敛,其收敛时间优于其他传统基于场景的非均匀性校正算法,并一定程度上抑制了"鬼影"现象。     

非均匀性和彩色失真图像的同时补偿

针对CCD摄像机或扫描仪产生图像存在颜色偏差和非均匀性使图像质量下降 ,通过多元线性回归分析方法同时对图像的非均匀性和彩色失真进行补偿 ,使输出图像信号均匀且其色度值与输入信号的色度值相匹配。依据算法进行了仿真试验 ,结果表明补偿后图像与原图像相比大体相近 ,且比非均匀性校正和彩色校正分步进行方法计算量小 ,节省时间     

基于PML边界的有限差分法及其在光波导泄漏损耗计算中的应用

利用结合完美匹配层(PML)边界的有限差分法计算了光波导的泄漏损耗.通过采用非均匀格点差分格式和反正切坐标变换的方法,有效地减小了计算量并提高了计算精度.分析了PI(polyimide)掩埋型波导和SOI(silicon-on-insulator)脊型波导两种典型结构的泄漏损耗,给出了波导结构尺寸对泄漏损耗的影响,并对有效减小泄漏损耗的方法进行了讨论.     

光纤耦合CCD相机的平场校正方法研究

对于光纤锥耦合的CCD相机中存在的响应非均性问题进行了阐述,针对这种类型的系统的平场校正方法进行了仔细的研究,分析了CCD相机输出信号的构成情况,并利用这些方法对实际存在较严重的非均匀问题的图像进行处理,获得了很好的结果,达到了图像精密处理的效果.     

TDICCD拼接相机的像元响应非均匀性校正方法

为了解决光学TDICCD成像系统在拼接模式下的像元响应非均匀性问题,研究了TDICCD像元校正的原理和实现方法。提出了视频处理器在不同增益、不同偏置和TDICCD在不同积分时间下进行像元校正的方法,设计了在现场可编程门阵列（FPGA）平台下进行了程序实现和验证的方法。实验数据分析表明：成像系统单片TDICCD的非均匀性由4.72%降低到0.27%,恶劣环境下TDICCD成像系统的图像非均匀性可以降低2.55%。该像元级校正算法简单,可靠性高,能够满足星上成像的要求;在不同的增益、偏置和积分时间下能够很好地解决TDICCD成像系统的像元响应非均匀性问题。     

Effective radiating area and beam non-uniformity ratio of ultrasound transducers at 5 MHz, according to IEC 61689:2007

This paper discloses results of measuring the effective radiating area (A_ER) and the beam non-uniformity ratio (R_BN) for US transducers at 5.0 MHz. Measurements were carried out at Laboratory of Ultrasound of the Brazilian National Institute of Metrology, Standardization, and Industrial Quality. As reliability proof of system’s adequacy, uncertainties were assessed. The calculation protocol was developed based on standard IEC 61689:2007. Type A uncertainty was estimated after four repetitions of the full procedure for the determination of A_ER and R_BN, and Type B uncertainty was estimated from the mathematical model for both calculations, obtained from IEC 61689:2007 and the guide to the expression of uncertainty in measurement. The procedure presented herein represents the state of the art regarding metrology for testing therapeutic ultrasound devices, and its application results in fundamental aspects to support their evaluation regarding quality assurance, for instance, for a certification process due safety and performance.     

TDI CCD像元响应不一致性校正算法

线阵TDI CCD遥感相机的不一致性校正对获取高质量的图像来说具有重要意义。主要对TDI CCD像元响应不一致性的校正算法及其硬件实现进行了深入的研究。对CCD的噪声特性进行了详细的分析,给出了像元响应不一致性(PRNU:Pixel-response non-uniformity)的退化模型及校正算法,并对其计算精度进行了分析,在硬件电路上对校正算法进行了验证,详细分析了影响校正效果的各种因素。实测结果表明,校正后图像的信噪比得到显著提高。