基于迭代残差插值的图像去马赛克

W. Ye, K. Ma
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引用次数: 12

摘要

近年来提出了一种新的去马赛克方法,该方法是基于对产生的残差场进行插值,而不是像大多数去马赛克方法那样对颜色分量差场进行插值。鉴于残差插值策略具有良好的性能,本文提出了一种新的基于残差插值的去马赛克方法,该方法的性能得到了很大的提高。我们方法的关键成功之处在于,RI过程迭代地部署到所有三个通道,以生成更准确地重构的G通道,从而也可以更好地重构R通道和B通道。在两个常用的测试数据集上进行的大量模拟清楚地表明,我们的算法在客观性能评估和主观感知质量方面都优于现有的最先进的去马赛克方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image demosaicing by using iterative residual interpolation
A new demosaicing approach has been introduced recently, which is based on conducting interpolation on the generated residual fields rather than on the color-component difference fields as commonly practiced in most demosaicing methods. In view of its attractive performance delivered by such residual interpolation (RI) strategy, a new RI-based demosaicing method is proposed in this paper that has shown much improved performance. The key success of our approach lies in that the RI process is iteratively deployed to all the three channels for generating a more accurately reconstructed G channel, from which the R channel and the B channel can be better reconstructed as well. Extensive simulations conducted on two commonly-used test datasets have clearly demonstrated that our algorithm is superior to the existing state-of-the-art demosaicing methods, both on objective performance evaluation and on subjective perceptual quality.
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