Measurement of Non-Circular PSFs in Single Pixel Cameras

C. Damian, D. Coltuc
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引用次数: 2

Abstract

This paper proposes an improved method for measuring Point Spread Function (PSF) of a camera. With this method the PSF is obtained by analyzing the image of a circular chart taken by the camera to be characterized. The main advantage over the existing methods is the capability to measure PSFs of various shapes not only circular. Single Pixel Camera is one of the imaging systems that could benefit of this method since depending of the light wavelength, the PSF can take either the shape of the aperture or that of Spatial Light Modulator cell. Other advantages of our methods are the capability to correct shear effects of the chart image and to infer the PSF from projections by Inverse Radon Transform. This last feature gives the possibility to also restore the images taken by the camera and not only to characterize the camera. The method is tested on synthetic images of the chart in the case of four different PSF shapes: circular, square, hexagonal and rounded square. The results show a correct estimation of the PSF shape and well restored images obtained by deconvolution with the measured PSF.
单像素相机中非圆psf的测量
提出了一种改进的相机点扩展函数(PSF)测量方法。该方法通过分析待表征相机拍摄的圆形海图的图像,得到PSF。与现有方法相比,主要优点是能够测量各种形状的psf,而不仅仅是圆形。单像素相机是可以受益于这种方法的成像系统之一,因为根据光波长的不同,PSF可以采用孔径的形状或空间光调制器单元的形状。我们的方法的其他优点是能够纠正图表图像的剪切效应,并通过逆Radon变换从投影推断PSF。最后一个功能提供了恢复相机拍摄的图像的可能性,而不仅仅是相机的特征。该方法在四种不同PSF形状的图表合成图像上进行了测试:圆形、方形、六角形和圆角方形。结果表明,该方法能正确估计出点积函数的形状,并能较好地恢复与实测点积函数反卷积的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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