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首页> 外文会议>Digital photography VIII >Joint Chromatic Aberration correction and Demosaicking
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Joint Chromatic Aberration correction and Demosaicking

机译：联合色差校正和去马赛克

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Chromatic Aberration of lenses is becoming increasingly visible with the rise of sensor resolution, and methods to algorithmically correct it are becoming increasingly common in commercial systems. A popular class of algorithms undo the geometric distortions after demosaicking. Since most demosaickers require high frequency correlation of primary colors to work effectively, the result is artifact-ridden as Chromatic Aberration destroys this correlation. The other existing approach of undistorting primary color images before demosaicking requires resampling of sub-sampled primary color images and is prone to aliasing. Furthermore, this algorithm cannot be applied to panchromatic CFAs. We propose a joint demosaicking and Chromatic Aberration correction algorithm that is applicable to both panchromatic and primary color CFAs and suffers from none of the above problems. Our algorithm treats the mosaicing process as a linear transform that is invertible if luminance and chrominance are appropriately bandlimited. We develop and incorporate Chromatic Aberration corrections to this model of the mosaicing process without altering its linearity or invertibility. This correction works for both space variant linear filter demosaicking and the more aggressive compressive sensing reconstruction.
机译：随着传感器分辨率的提高，镜片的色差变得越来越明显，在商业系统中，通过算法校正它的方法也越来越普遍。一类流行的算法可以消除去马赛克后的几何变形。由于大多数去马赛克仪都需要与原色的高频相关才能有效工作，因此，由于色差破坏了这种相关性，因此结果令人不安。在去马赛克之前不使原色图像失真的另一种现有方法需要对二次采样的原色图像进行重新采样，并且容易出现混叠。此外，该算法不能应用于全色CFA。我们提出了一种联合去马赛克和色差校正算法，该算法适用于全色和原色CFA，并且没有上述任何问题。我们的算法将镶嵌过程视为线性变换，如果适当地限制了亮度和色度，则该变换是可逆的。我们开发了色差校正并将其合并到此镶嵌过程模型中，而不会改变其线性或可逆性。此校正适用于空间变量线性滤波器去马赛克和更积极的压缩感测重建。

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