摘要
本文介绍了BP人工神经网络在计算机图像压缩中应用的原理,对其实现的过程进行了详细的阐述,并通过采用非线性网络和最速下降法实现了图像压缩。分析结果表明:可以通过牺牲压缩率,增加隐含层的神经元数来提高重建图像的质量。
This paper introduces the principle of the BP artificial neural network in the application of computer image compression, and gives a detailed description of the realization progress on it. The image compression is carried out by taking the nonlinear net- work and the deepest decedent method. The analysis shows that： by the sacrifice of compression ratio, the quality of the recovered image can be improved with the increase of the number of the neurons in the hidden layer.
出处
《微计算机信息》
北大核心
2007年第02X期312-314,共3页
Control & Automation
关键词
BP网络
人工神经网络
图像压缩
BP network,artlficial neural network,image compression
