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EVALUATION OF CORRECTION METHODS OF CHROMATIC ABERRATION IN DIGITAL CAMERA IMAGES

机译:数码相机图像中色差校正方法的评价

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This paper reports an experiment conducted to evaluate correction methods of chromatic aberrations in images acquired by a non-metric digital camera. The chromatic aberration correction methods evaluated in the experiment are classified into two kinds. One is the method to correct image coordinates by using camera calibration results of color-separated images. The other is the method based on the assumption that the magnitude of chromatic aberrations can be expressed by a function of a radial distance from the center of an image frame. The former is classified further into five types according to the difference of orientation parameters common to all colors. The latter is classified further into three types according to the order of the correction function. We adopt a linear function, a quadratic function and a cubic function of the radial distance as a correction function. We utilize a set of 16 convergent images shooting a white sheet with 10 by 10 black filled circles to carry out camera calibration and estimate unknown coefficients in the correction function by means of least squares adjustment. We evaluate the chromatic aberration correction methods by using a normal image shooting a white sheet with 14 by 10 black filled circles. From the experiment results, we conclude that the method based on the assumption that the magnitude of chromatic aberrations can be expressed by a cubic function of the radial distance is the best method of the evaluated methods, and would be able to correct chromatic aberrations satisfactorily enough in many cases.
机译:本文报道了一种在由非公制数码相机获取的图像中的色差校正方法进行评估。在实验中评估的色差校正方法分为两种。一个是使用颜色分离图像的相机校准结果来校正图像坐标的方法。另一个是基于假设的方法,即色差的大小可以通过距图像帧的中心的径向距离的函数来表示。前者根据所有颜色共同的方向参数的差异进一步分为五种类型。后者根据校正函数的顺序进一步分为三种类型。我们采用线性函数,二次函数和径向距离的立方体函数作为校正功能。我们利用一组16个收敛图像拍摄具有10乘10个黑色填充圆圈的白色纸张,以通过最小二乘调节进行校正功能中的相机校准并估计未知系数。通过使用具有14到10个黑色填充圆圈的白色纸张拍摄白色纸张来评估色差校正方法。从实验结果中,我们得出结论,基于假设色差的大小可以通过径向距离的立方函数表示的方法是评估方法的最佳方法,并且能够令人满意地纠正色差足够圆形的像差在许多情况下。

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