杂讯原始数据的跨色BM3D滤波

Aram Danielyan, M. Vehvilainen, A. Foi, V. Katkovnik, K. Egiazarian
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引用次数: 51

摘要

考虑了彩色滤波阵列(CFA)数据的彩色图像重构。提出了一种改进的块匹配3D (BM3D)[2]滤波器,用于利用交叉色相关性对CFA数据进行去噪。然后通过为无噪声数据开发的算法对去噪图像进行去马赛克处理,从而为高斯和泊松噪声模型提供最先进的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-color BM3D filtering of noisy raw data
Color image reconstruction from noisy color filter array (CFA) data is considered. A modification of the Block Matching 3D (BM3D) [2] filter for CFA data denoising utilizing cross-color correlations is proposed. Denoised images are then demosaicked by algorithms developed for noise-free data leading to state-of-the-art performance for both Gaussian and Poissonian noise models.
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