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Optimal PSF Estimation for Simple Optical System Using a Wide-Band Sensor Based on PSF Measurement

机译:基于PSF测量的使用宽带传感器的简单光学系统的最优PSF估计

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摘要

Simple optical system imaging is a method to simplify optical systems by removing aberrations using image deconvolution. The point spread function (PSF) used in deconvolution is an important factor that affects the image quality. However, it is difficult to obtain optimal PSFs. The blind estimation of PSFs relies heavily on the information in the image. Measured PSFs are often misused because real sensors are wide-band. We present an optimal PSF estimation method based on PSF measurements. Narrow-band PSF measurements at a single depth are used to calibrate the optical system; these enable the simulation of real lenses. Then, we simulate PSFs in the wavelength pass range of each color channel all over the field. The optimal PSFs are computed according to these simulated PSFs. The results indicated that the use of the optimal PSFs significantly reduces the artifacts caused by misuse of PSFs, and enhances the image quality.
机译:简单的光学系统成像是一种通过使用图像反卷积消除像差来简化光学系统的方法。去卷积中使用的点扩展函数(PSF)是影响图像质量的重要因素。但是,难以获得最佳的PSF。 PSF的盲目估计严重依赖于图像中的信息。由于真实传感器是宽带的,因此经常会误用测得的PSF。我们提出了一种基于PSF测量的最佳PSF估计方法。在单个深度上的窄带PSF测量用于校准光学系统。这些功能可以模拟真实的镜头。然后,我们在整个场中模拟每个颜色通道的波长通过范围内的PSF。根据这些模拟的PSF计算最佳PSF。结果表明,最佳PSF的使用显着减少了由于滥用PSF而导致的伪像,并提高了图像质量。

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