一种基于PCNN的图像去噪新方法

顾晓东; 郭仕德; 余道衡

一种基于PCNN的图像去噪新方法

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出版历程
- 收稿日期: 2001-04-17
- 修回日期: 2001-10-29
- 刊出日期: 2002-10-19

A new approach for noise reducing of image based on PCNN

摘要

摘要: 该文深入研究了如何用一种有生物学依据的人工神经网络脉冲耦合神经网络(PCNNPulseCoupled Neural Network)进行二值图像去噪与图像平滑,并提出了基于PCNN的图像去噪算法。计算机仿真结果表明,使用PCNN可有效地恢复被噪声污染的二值图像,且恢复图像的信噪比增量高于用另两种常用的图像恢复方法(中值滤波与均值滤波)得到的结果。
- PCNN; 图像去噪; 图像平滑
Abstract: In this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial neural network based on biology, to reduce binary images noise and smooth images. Meanwhile, the image restoration algorithm based on PCNN is brought forward. The results of computer simulations show that noisy binary images can be restored efficiently by using PCNN and the increasing SNRs of restored images by using PCNN are higher than those by using one of two usual image restoration methods, the median filter and the mean filter.

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R.P. Broussard, S. K. Rogers, M. E. Oxley, et al., Physiologically motivated image fusion for object detection using a pulse coupled neural network, IEEE Trans. on Neural Networks, 1999,10(3), 554-563.[2]X. Liu, D. L. Wang, Range image segmentation using a relaxation oscillator networks, IEEE Trans. on Neural Networks, 1999, 10(3), 564-573.[3]J.M. Kinser, Foveation by a pulse-coupled neural network, IEEE Trans. on Neural Networks,1999, 10(3), 621 625.[4]J.L. Johnson, M. L. Padgett, PCNN models and applications, IEEE Trans. on Neural Networks,1999, 10(3), 480-498.[5]H. Jcaufield, J. M. Kinser, Finding shortest path in the shortest time using PCNNs, IEEE Trans.on Neural Networks, 1999, 10(3), 604-606.[6]H.S. Ranganath, G. Kuntimad, Object detection using pulse coupled neural networks, IEEE Trans. on Neural Networks, 1999, 10(3), 615-620.[7]Derek M. Wells, Solving degenerate optimization problems using networks of neural oscillators,Neural networks, 1992, 5(6), 949 959.[8]R. Eckhorn, H. J. Reitboeck, M. Arndt, et al., Feature linking via synchronization among distributed assemblies: Simulation of results from cat cortex, Neural Computation., 1990, 2(3),293-307.[9]R. Eckhorn, A. Frien, R. Bauer, et al., High frequency oscillations in primary visual cortex of awake monkey. Neuroreport, 1993, 4(3), 243-246.[10]J. L. John, D. Ritter, Observation of periodic waves in a pulse-coupled ne ural network. Opt.Lett., 1993, 18(15), 1253-1255.[11]J. L. Johnson, Pulse-coupled neural nets: translation, rotation, scale, distortion and intensity signal invariance for images. Appl. Opt., 1994, 33(26), 6239-6253.

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