Denoising Method of CCD Image Based on Improved Neural Network

邓超; 王瑞; 张涛

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Denoising Method of CCD Image Based on Improved Neural Network

更新时间：2026-09-14

- Denoising Method of CCD Image Based on Improved Neural Network
- 基于改进神经网络的CCD图像去噪方法研究
- Vol. 31, Issue 2, Pages: 128-131(2010)
- 作者机构：
  
  1. 河南理工大学计算机科学与技术学院
  2. 中国科学院长春光学精密机械与物理研究所
  3. 中国科学院研究生院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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邓超, 王瑞, 张涛. Denoising Method of CCD Image Based on Improved Neural Network[J]. 2010, 31(2): 128-131.
DOI：

邓超, 王瑞, 张涛. Denoising Method of CCD Image Based on Improved Neural Network[J]. 2010, 31(2): 128-131. DOI：

摘要

针对CCD相机非线性响应功能的特点

提出一种基于神经网络自适应调整滤波器窗口大小和参数权值的图像去噪方法.基于神经网络良好的非线性特点

通过对CCD光子转移曲线进行非线性逼近分类

自适应调整滤波器的窗口大小和滤波器参数

最终达到针对性去噪的目的.实验及理论分析表明:该方法在有效去噪的同时

保留了边缘细节

提高了信噪比;弥补了BP算法的不足

能够提高大数据量图像处理的工作效率和精度.

Abstract

According to the characteristics of the nonlinear response function of the CCD camera

a neural network image denoising scheme was proposed

which was based on the adaptive window size and parameter of the filter.Due to the neural network(NN)'s excellent nonlinearity

an improved method for neural network(NN) was applied.The new NN classified the CCD PTC(photon transfer curve) in nonlinearity and adjusted optimum filter window size and parameter to remove the noise adaptively.Experiment and theory analysis prove that the filter can remove the noise apparently with reserving the image edge details and improving the SNR

the filter also enhances the efficiency and precision of the image processing by improving the deficiency of BP method.

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references

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段瑞玲,李玉和,李庆祥.非线性域值自调整小波图像去噪方法研究[J].光电子.激光,2006,17(7):871-874.Duan Ruiling,Li Yuhe,Li Qingxiang.Image denoising method of nonlinear threshold-self-adjusting-based wavele[J].Journal of Optoelectronics Laser,2006,17(7):871-874.(in Chinese)

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