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The Illumination Spectrum Parameters Optimization Select For Image Measurement Based on No-reference Image Quality Assessment

机译:基于无参​​考图像质量评估的照明光谱参数优化选择

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In order to enhance the visual imaging system for measuring image quality, the paper analyzed the imaging devices and lighting of the light source spectral imaging system, as well as matching characteristics of the aberration characteristics, studied the influence on imaging quality of the spectrum lighting system;the introduction of no reference to the image of evaluation methods from CSNR and Tenengrad function for the analysis of the ability of image contrast and clarity under different spectrum lighting is made is based on this condition;In what follows, obtaining spectrum optimization program from imaging , measurement and lighting system by evaluation function;the paper concludes with a spectrum lighting comparison experiment of the monochromatic and polychromatic light, quality evaluation of digital image contrast and definition of indicators from spectrum of different conditions was made by applying for raised of evaluation function;It' s discovered that the image quality of contrast and definition of indicators over polychromatic light by using spectrum lighting .which near to peak wavelength of CCD spectral response function in the experiment. So it's provided an optimization guide the direction of spectral characteristics from the choice of lighting source system in a designing system of vision.
机译:为了增强用于测量图像质量的视觉成像系统,本文分析了光源光谱成像系统的成像设备和照明,以及像差特性的匹配特性,研究了对光谱照明系统成像质量的影响。在此条件下,从CSNR和Tenengrad函数引入了不参考图像的评估方法来分析不同光谱照明下图像的对比度和清晰度的能力;在此之后,从成像获得光谱优化程序通过评估功能对测量和照明系统进行了研究。本文通过对单色光和多色光的光谱照明比较实验进行了总结,通过提出评估函数的提出,对数字图像的对比度进行了质量评估,并根据不同条件下的光谱定义了指标。发现实验中,通过接近光谱峰值波长的光谱照明,通过光谱照明获得了对比色的图像质量和指示剂的清晰度。因此,在视觉设计系统中,它从选择光源系统的角度出发,为光谱特性的方向提供了优化指南。

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