METHOD OF CALCULATION OF PARAMETERS OF ANTI-ALIASING FILTERS FOR CORRECTION OF SPECTRAL CHARACTERISTICS DEPENDING ON THE SAMPLING STRUCTURES USED IN COLOR FILTER ARRAYS

S.G. ROMANOV, I.V. VLASUYK
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Abstract

When developing algorithms and methods for generating and processing image signals (IS) used in devices based on single-matrix light-to-signal converters (LSC), the effects of not only the elements of the system included in the optical pathway (OP) located directly between the exposed image and device sensor, but also the specifics of the structure of color filter arrays (CFA) used in such cameras, applied to the surface of the matrix. In this article analyzed the most popular SSF subsampling structures and their impact on the spatial characteristics of the generated images. Based on the model for constructing these characteristics, a method is given for calculating the optimal parameters of anti-aliasing filters that match the properties of the OP and the sensor for a given characteristic of the optical system. Specific examples of calculating and optimizing such filters and evaluating their impact on the amplitude characteristics of signals are given. Based on the results of applying the developed method, formulated recommendations for the design of the CFA.
基于彩色滤光片阵列采样结构的光谱特性校正抗混叠滤波器参数的计算方法
在开发用于生成和处理基于单矩阵光信号转换器(LSC)的设备中使用的图像信号(IS)的算法和方法时,不仅要考虑直接位于曝光图像和设备传感器之间的光通路(OP)中包含的系统元素的影响,还要考虑这种相机中使用的彩色滤光片阵列(CFA)结构的具体特点,并将其应用于矩阵表面。本文分析了目前最流行的SSF子采样结构及其对生成图像空间特征的影响。基于构造这些特性的模型,给出了一种计算抗混叠滤波器的最佳参数的方法,该参数与光学系统给定特性的OP和传感器的特性相匹配。给出了计算和优化这种滤波器以及评估其对信号幅度特性影响的具体实例。根据所开发方法的应用结果,对CFA的设计提出了建议。
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