A Recursive Edge Detector For Color Filter Array Image
A Recursive Edge Detector For Color Filter Array Image
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DOI：
10.1109/icassp40776.2020.9053743
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
Baptiste Magnier;Arezki Aberkane;N. Gorrity
中科院分区：
文献类型：
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作者：
Baptiste Magnier;Arezki Aberkane;N. Gorrity
大多数嵌入式摄像机使用单个传感器通过彩色滤光片捕获图像。它们产生每个像素只有一个颜色分量的特殊图像。缺失数据通常通过去马赛克过程来估计，但是这花费了不期望的计算时间并且可能生成不期望的颜色伪影。在实时约束下的许多嵌入式系统可以使用这种类型的相机用于边缘检测等目的。本文提出了一种新的偏导数图像边缘检测方法。该算法是测试一个大的合成图像的边缘地面真理是毫无疑问的。利用图像的原始数据不仅可以大大减少计算时间，而且可以获得比使用某些基于去马赛克的方法更精确的边缘检测结果。
Most of embedded cameras use a single sensor to capture images through a color filter. They produce special images with only one color component per pixel. Missing data are usually estimated through a demosaicking process, but this takes undesirable computation time and may generate undesirable color artifacts. Many embedded systems under real-time constraints could use this type of camera for purposes like edge detection. In this paper, a new edge detection method is proposed for the computation of partial derivative images. This algorithm is tested on a large set of synthetic images where edge ground truth is unquestionable. The exploitation of the raw data of images allows not only to drastically reduce computational time, but also to get edge detection results even more precise than using certain demosaicking-based methods.