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Demosaicing of Periodic and Random Color Filter Arrays by Linear Anisotropic Diffusion

机译:通过线性各向异性扩散对周期和随机滤色器阵列进行去马赛克

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The authors develop several versions of the diffusion equation to demosaic color filter arrays of any kind. In particular, they compare isotropic versus anisotropic and linear versus non-linear formulations. Using these algorithms, they investigate the effect of mosaics on the resulting demosaiced images. They perform cross analysis on images, mosaics, and algorithms. They find that random mosaics do not perform the best with their algorithms, but rather pseudo-random mosaics give the best results. The Bayer mosaic also shows equivalent results to good pseudo-random mosaics in terms of peak signal-to-noise ratio but causes visual aliasing artifacts. The linear anisotropic diffusion method performs the best of the diffusion versions, at the level of state-of-the-art algorithms.
机译:作者开发了多种扩散方程式,可用于任何种类的去马赛克滤色镜阵列。特别是,他们比较了各向同性和各向异性以及线性和非线性公式。使用这些算法,他们研究了马赛克对最终去马赛克图像的影响。他们对图像,镶嵌图和算法进行交叉分析。他们发现随机镶嵌算法在其算法上的效果并不理想,但是伪随机镶嵌算法却能提供最佳结果。拜耳镶嵌图在峰值信噪比方面也显示出与良好的伪随机镶嵌图相当的结果,但会引起视觉混叠伪像。线性各向异性扩散方法在最先进的算法水平上表现最佳。

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