用改进的边缘方向检测去马赛克

Xiaomeng Wang, Weisi Lin, P. Xue
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引用次数: 26

摘要

针对单传感器数码相机的拜耳图案图像,提出了一种新的边缘自适应彩色去马赛克方法。提出了一种利用信道间相关性在最小检测半径内确定边缘方向的窄边缘方向检测器。然后制定了一个组合标准,以满足现实世界场景中边缘发生的多样性。通过对边缘方向的有效检测,强调绿色通道的恢复和整体的细化,实现了对反马赛克方案的改进。实验结果表明,与现有方案相比,新方案保留了更好的边缘细节,减少了颜色混叠现象,获得了更高的信号保真度和视觉图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demosaicing with improved edge direction detection
A new edge adaptive color demosaicing method for Bayer pattern images of single-sensor digital cameras is presented in this paper. An edge direction detector for narrow edges is proposed by making full use of inter-channel correlation to determine edge directions within the smallest detection radius. A combinative criterion is then formulated to cater for the diversity of edge occurrence in real-world scenes. The improvement of the proposed demosaicing scheme is achieved by an effective detection on edge directions, emphasizing on green channel restoration and the overall refinement. Experimental results show that the new scheme preserves better edge details, reduces color aliasing artifacts, and achieves both higher signal fidelity and higher visual image quality as compared with some existing schemes.
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