A New Scheme for Color Night Vision by Quaternion Neural Network
A New Scheme for Color Night Vision by Quaternion Neural Network
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发表时间：
2004
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通讯作者：
Hiromi Kusamichi;T. Isokawa;N. Matsui;Y. Ogawa
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作者：
Hiromi Kusamichi;T. Isokawa;N. Matsui;Y. Ogawa
本文提出了一种从暗图像中提取颜色信息的神经网络。我们采用前馈四元数神经网络，其中神经元参数表示为四维向量。采用四元数版本的反向传播算法，将模糊图像作为输入，模糊图像作为目标，对网络进行训练，并建立两者之间的关系。通过数值结果证明了四元数神经网络的性能和泛化能力。我们提出的方法将有助于实现所谓的彩色夜视系统，因为它的简单和成本效益的好处。
A neural network for extracting color information from gloomy images is presented in this paper. We adopt a feedforward quaternion neural network, where neuronal parameters are represented as 4-dimensional vectors. The network is trained by imposing a gloomy image as input and its finer one as target by quaternion version of back propagation algorithm, and then relations between them are established. We show the performance and the generalization ability of quaternion neural network through numerical results. Our proposed method will be useful in realizing a so-called color night vision system for the benefit of its simplicity and cost-effectiveness.