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Similarity-based demosaicing algorithm using unified high-frequency map

机译:基于统一高频图的基于相似度的去马赛克算法

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摘要

This paper introduces an innovative demosaicing algorithm for color filter array (CFA). Conventional demosaicing algorithms usually detect edges in horizontal-, vertical- or omni-direction, and apply a directional filtering along the edge direction. It is found that these algorithms do not properly work for diagonal edges. We, then, invent a similarity based filtering using unified high-frequency (UHF) map. This new technique enables flexible filtering masks so as to be able to deal with edges of any direction. It is confirmed through experiments that the proposed algorithm outperforms state-of-the-art algorithms in terms of PSNR and subjective quality. In addition, the proposed algorithm requires fewer resources than the state-of-the-art algorithms.
机译:本文介绍了一种创新的彩色滤光片阵列(CFA)的去马赛克算法。常规的去马赛克算法通常在水平,垂直或全方向上检测边缘,并沿边缘方向应用方向过滤。发现这些算法不适用于对角线边缘。然后,我们发明了使用统一高频(UHF)映射的基于相似度的滤波。这项新技术可实现灵活的过滤蒙版,从而能够处理任何方向的边缘。通过实验证实,所提出的算法在PSNR和主观质量方面优于最新算法。另外,与最新算法相比,所提出的算法需要更少的资源。

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