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基于小波混沌神经网络的图像复原算法

丁伟

计算机与数字工程2012,Vol.40Issue(9):106-109,4.
计算机与数字工程2012,Vol.40Issue(9):106-109,4.

基于小波混沌神经网络的图像复原算法

Image Restoration Using Wavelet Chaotic Neural Network

丁伟1

作者信息

  • 1. 江苏科技大学 张家港215600
  • 折叠

摘要

Abstract

This paper proposes a novel algorithms to restore image based on the modified Hopfield neural network with a continuous state change, wavelet and chaos theory. This paper combines wavelet and chaos theory with Hopfield neural network, which bases on the Hopfield neural networks application to image restoration. It details Wavelet chaotic neural network algorithm's theory and steps. Experi-mental results demonstrate that this method can get higher PSNR of the restored images, and better views.

关键词

小波混沌神经网络/Hopfield神经网络/图像复原

Key words

wavelet chaotic neural network/Hopfield neural network/image restoration

分类

信息技术与安全科学

引用本文复制引用

丁伟..基于小波混沌神经网络的图像复原算法[J].计算机与数字工程,2012,40(9):106-109,4.

计算机与数字工程

1672-9722

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