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Demosaicing approach based on extended color total-variation regularization

Demosaicing approach based on extended color total-variation regularization,10.1109/ICIP.2008.4711897,Takahiro Saito,Takashi Komatsu

Demosaicing approach based on extended color total-variation regularization   (Citations: 7)
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Previously we presented a TV (total variation)-based sharpening- demosaicing method. Our previous method interpolates color signals effectively while preserving sharp color edges, without producing ringing artifacts along the edges. However, since our previous method applies the TV regularization separately to each primary color channel, it sometimes produces color artifacts along sharp color edges. To remedy the drawback, we introduce the TV regularization of color differences and color sums into our previous method. Unlike our previous method, our new method jointly interpolates the three primary color channels. We compare demosaicing performance of our new method with the state-of-the- art demosaicing methods. In the evaluations, we consider a noise- free case and a noisy case. For both cases our new method achieves the best performance, and for the noisy case our new method considerably outperforms the state-of-the-art methods.
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    • ...oppositely-varying variations in which one color signal increases while the other color signal decreases [6]...

    Takahiro Saitoet al. Image denoising with hard color-shrinkage and grouplet transform

    • ...In literature some regularization approaches to demosaicking have been explored in [21], and the total-variation technique is used in [22], while Farsiu et al. proposed a regularization methodcombiningdemosaickingandsuper-resolution[23].Recently, Buades et al. in [24] analyzed a reconstruction method taking into account the nonlocal image geometry, while in [25] the sparse nature of color images is exploited in order to design a suitable ...

    Daniele Menonet al. Regularization Approaches to Demosaicking

    • ...Future works will investigate the possible extensions to non-quadratic smoothness penalties and the links with other regularization approaches of the literature like [15, 16]...

    Laurent Condat. A generic variational approach for demosaicking from an arbitrary colo...

    • ...The l1 norms of color differences operate to preserve identicallyvarying variations in which the two color signals change in phase with each other, whereas the l1 norms of color sums operate to preserve oppositely-varying variations in which one color signal increases while the other color signal decreases [4]...

    Takahiro Saitoet al. Iterative soft color-shrinkage for color-image denoising

    • ...The posterior-decomposition approach firstly interpolates observed raw color data with a proper demosaicing method [5], [6]...
    • ...To achieve efficient demosaicing, we need to take the effects of the noise and the blur into account, and hence we adopt our extended color-TV-regularization deblurringdemosaicing method [6]...
    • ...Fig. 6 shows the same portions of color images given by the posterior-decomposition IP-pipeline with the monochrome-image decomposition, the posterior-decomposition IP-pipeline with the color-image decomposition, and the standard IP-pipeline with our extended color-TV-regularization deblurring-demosaicing method [6], to raw mosaicked-color-data, which are read out from a digital SLR camera and are scarcely contaminated with observation ...

    Takahiro Saitoet al. Digital camera IP-pipeline based on BV-G color-image decomposition

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