摘要
探讨应用神经网络实现图像压缩和解压缩技术。神经网络结构由两组三层BP网络嵌套而成,分别为输入层、结合层、压缩层、分解层和输出层。由RGB彩色模式的BMP图像文件产生样本数据,采用BP算法的一种扩展型,即嵌套训练算法,对网络进行训练,得到有效的模拟结果。
Using of neural network in image compression and decompression discussed. The neural network consists of two nested three-layers BP networks. They are input layer, combination layer, compression layer, decompression layer and output layer respectively. The extension of BP Algorithm-NTA (Nested Training Algorithm) is adopted in training of it. The simulation results indicate its efficiency.
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2002年第2期91-93,共3页
Journal of North China Electric Power University:Natural Science Edition
关键词
神经网络
图像压缩
图像处理
多媒体
BP neural network
NTA algorithm
image com- pression/decompression