树莓派相机模块的平场和色彩校正

R. Bowman, Boyko Vodenicharski, J. Collins, Julian Stirling
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引用次数: 16

摘要

树莓派相机模块作为低成本的相机传感器广泛应用于开源硬件项目中。然而,当库存镜头被移除并替换为其他定制光学传感器时,传感器将返回一个不均匀的背景和颜色响应,这阻碍了这种优秀和流行的图像传感器的使用。这种效果被发现是由于传感器的光学设计以及由于GPU固件中的内置校正,这是针对短焦距镜头进行优化的。在这项工作中,我们对树莓派相机模块v2中的渐晕和彩色串扰进行了表征和校正,提出了两项使用自定义光学元件大大提高图像质量的措施。首先,我们使用自定义的“镜头阴影表”来校正图像的渐晕,这可以在相机现有的处理管道中实时完成(即相机的低延迟预览被校正)。第二种校正是颜色解混矩阵,它使我们能够逆转图像边缘的饱和度损失,尽管这需要对图像进行后处理。有了这两种校正,就有可能获得均匀的色彩校正图像,代价是图像边缘的噪声略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flat-Field and Colour Correction for the Raspberry Pi Camera Module
The Raspberry Pi camera module is widely used in open source hardware projects as a low cost camera sensor. However, when the stock lens is removed and replaced with other custom optics the sensor will return a non-uniform background and colour response which hampers the use of this excellent and popular image sensor. This effect is found to be due to the sensor's optical design as well as due to built-in corrections in the GPU firmware, which is optimised for a short focal length lens. In this work we characterise and correct the vignetting and colour crosstalk found in the Raspberry Pi camera module v2, presenting two measures that greatly improve the quality of images using custom optics. First, we use a custom "lens shading table" to correct for vignetting of the image, which can be done in real time in the camera's existing processing pipeline (i.e. the camera's low-latency preview is corrected). The second correction is a colour unmixing matrix, which enables us to reverse the loss in saturation at the edge of the image, though this requires post-processing of the image. With both of these corrections in place, it is possible to obtain uniformly colour-corrected images, at the expense of slightly increased noise at the edges of the image.
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