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基于混沌神经网络的图像压缩算法 被引量：2

Algorithm of Image Compression Based on Chaotic Neural Network
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摘要 用神经网络实现图像压缩是1种十分有效的方法,文中提出1种混沌神经网络压缩图像的算法。应用混沌系统生成的混沌二进制序列,对图像进行分形压缩。算法充分利用了混沌理论和神经网络的特点和优点。算法采用matlab语言进行仿真实现了对图像的压缩,仿真实验结果表明,该算法有实用性和有效性,同时提高了图像压缩系统的压缩比和压缩速度,最终提高了重构图像的质量。 Neural network is a every efficient method for image compression.The image compression algorithm of chaotic neural network is proposed in this paper.According to binary sequence generated from chaotic system makes image fractal compression.This algorithm completly uses the characteristics of chaos and neural network.The proposed method has realized image comprion under mathlat,the imitation experiment results show that has practical performance and walidity at sametime improved the image compression ratio and compression speed,and will achieve high quality reconstructed image.
作者 张建宏
机构地区 湖州师范学院信息与工程学院
出处 《煤炭技术》 CAS 北大核心 2010年第5期167-168,共2页 Coal Technology
关键词 混沌神经网络 图像压缩 分形 chaotic neural network image compression fractal
分类号 TN919 [电子电信—通信与信息系统]
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参考文献8

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共引文献34

同被引文献24

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引证文献2

二级引证文献8

煤炭技术
2010年 第5期

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