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基于BP人工神经网络的图像压缩技术过程及分析
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2009-07-07
贾永世
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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。
关键词：BP 网络，人工神经网络，图像压缩
Abstract：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 network 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.
Keywords：BP network, artificial neural network, image compression
关键词：BP 网络，人工神经网络，图像压缩
Abstract：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 network 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.
Keywords：BP network, artificial neural network, image compression
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