基于区域的Bayer CFA图像色度子采样方法

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI:10.1117/12.2540491

K. Chung, Wei-Che Chien, Yu-Ling Lee, Chao-Liang Yu

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引用次数: 1

摘要

拜耳彩色滤光片阵列(Bayer color filter array, CFA)是目前数码彩色相机市场上应用最广泛的一种彩色滤光片阵列。拜耳CFA图像的色度4:2:0子采样是压缩前的必要步骤。本文基于CFA块失真最小化准则，对Bayer CFA图像提出了一种有效的基于区域的色度4:2:0子采样方法。基于测试的Kodak和IMAX数据集，实验结果表明，在当前的高效视频编码(HEVC)参考软件HM-16.18中，与现有的六种色度子采样方法相比，我们的方法具有较高的重构图像质量。

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Effective region-based chroma subsampling method for Bayer CFA images

The Bayer color filter array (CFA) pattern is the most widely used CFA pattern in the digital color cameras market. The chroma 4:2:0 subsampling of Bayer CFA images is a necessary process prior to compression. In this paper, based on the CFA block-distortion minimization criterion, we propose an effective region-based chroma 4:2:0 subsampling method for Bayer CFA images. Based on the test Kodak and IMAX datasets, the experimental results demonstrated that in the current high efficiency video coding (HEVC) reference software HM-16.18, our method has substantial quality of the reconstructed images when compared with the existing six chroma subsampling methods.

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... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging

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