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Removing chromatic aberration by digital image processing

机译:通过数字图像处理消除色差

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摘要

Chromatic aberration is a form of aberration in color optical devices that produces undesirable color fringes along borders within images. It is becoming a more critical problem these days as digital cameras are getting smaller, while the number of picture elements is increasing. We propose a novel method for detecting and eliminating chromatic aberration using image processing. We first analyze the color behavior on edges that do not show chromatic aberration and propose a range limitation for color difference signals. When pixels violate the preceding condition, they can be considered as color fringes caused by chromatic aberration. Corrected pixel values are generated to eliminate the chromatic aberrations. The proposed algorithm corrects both lateral and longitudinal aberration in an image, and experimental results are provided to demonstrate its efficacy
机译:色差是彩色光学设备中的一种像差,会沿图像的边界产生不希望的色差。如今,随着数码相机的体积越来越小,而像素的数量却越来越多,这已成为一个更加严重的问题。我们提出了一种使用图像处理检测和消除色差的新颖方法。我们首先分析不显示色差的边缘上的颜色行为,并提出色差信号的范围限制。当像素违反上述条件时,可以将它们视为色差导致的色带。生成校正后的像素值以消除色差。提出的算法可以校正图像的横向和纵向像差,并提供实验结果来证明其有效性

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