On the optimizing weighting apparatus in active image processing

本研究是基于理论研究的结果，“优化问题的主动调制图像处理（科研资助（C）1994-1995）“本研究的目的是建立一个通用的优化加权装置，以证实调制光谱学优化加权技术的实用性及其扩展，根据这一目标，本研究的第一阶段（1997年）设计并建造了一个通用的调制光谱优化加权装置。同时还研制了一个信号源模拟器，以代替实际的光谱仪。该优化加权系统包括用于数值加权的可变增益放大器、信号积分器、用于输入信号的真实的时间方差估计器和用于停留时间加权的调制控制器。该系统由两台微机控制，1998年对信号源模拟器进行了改造和编程，以获得更多的一次响应。利用该信号源模拟器，在电子能谱的情况下，对该系统信噪比的提高进行了评价。除此之外，建立了一个基本的理论处理相对于主动图像处理的优化加权。我们期望将这种优化的加权技术应用于透射电子显微镜的球差校正。由于信噪比的提高在这一领域中是非常重要的，因此这种优化加权具有重要的实际意义

The present study is based on results of the theoretical study, 'optimizing problems in active modulation image processing ( Grant-in-aid for scientific research (C) 1994-1995 )' The aim of this study is the construction of a universal optimized weighting apparatus to confirm the practicability of the optimized weighting technique for the modulation spectroscopy and its extension, the active modulation image processing.According to this aim, a universal optimized weighting apparatus for the modulation spectroscopy was designed and constructed at the first stage (1997) of this study. A signal source simulator was also constructed as substitute for actual spectrometers. This optimized weighting system contains a variable gain amplifier for the numerical weighting, a signal integrator, a real time variance estimator for the input signal, and a modulation controller for the time of stay weighting. This system was controlled by 2 personal computers.In the next stage (1998), the signal source simulator was reconstructed and programmed to get more first response. Evaluations for the improvement of the signal to noise ratio of this system were tried using this signal source simulator under the situation of the electron spectroscopy. In addition to this, a basic theoretical treatment was established with respect to the optimized weighting for the active image processing. We are expecting to apply this optimized weighting technique for the spherical aberration correction of the transmission electron microscope. Since the improvement of the signal to noise ratio is very important in this field, such optimized weighting has great significance in practice