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基于改进的神经元网络的图像恢复与重建新算法

A NEW ALGORITHM FOR IMAGE RESTORATION AND RECONSTRUCTION BY THE IMPROVED NEURAL NETWORK

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【作者】 袁友伟周水庚张建伟

【Author】 Yuan Youwei Zhou Shuigeng Zhang Jianwei(Department of Computers, Zhuzhou Institute of Engineering, Zhuzhou 412008)

【机构】 株州工学院计算机系株州工学院计算机系 株州 412008株州 412008株州 412008

【摘要】 本文简单介绍了最早的图像恢复的神经网络方法,Lambertian反射模型虽可用于图像的恢复与重建,但它有很大的局限性。为此,本文给出了一种基于改进的神经元网络的新型反射模型,用于三维图像的恢复与重建,此新法不需知道光源方向,经实验证明,具有计算快捷且图像识别精度高的特点。

【Abstract】 The paper introduces the earliest the image restoration based on the neural network. The limitation of the conventional reflectance model by Lambertian is also addressed, and a new neural - based reflectance model is proposed. The new neural learning algorithm is to optimize a proper reflectance model and to recover the object surface by a simple shape - form - shading(SFS) variational method with this improved neural - based reflectance model. An example is also given to prove that the SFS technique is robust for most objects, even when they are uncertain of h’ghting conditions.

  • 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2001年10期
  • 【分类号】TP183;TP391.41
  • 【被引频次】1
  • 【下载频次】109
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