摘要
神经网络研究的再度兴起及其在图像编码中的应用，开辟了图像压缩的新途径，本文论述了用于图像编码的神经网络模型、算法、应用效果及进展，对该领域尚未解决的一些基本理论问题，如神经网络实现图像数据压缩的机理，基于神经网络图像编码方法的分类等进行了探讨．最后，展望了需要进一步研究的方向．
With the rise of neural networks again and their applications to image coding,a new approach to image data compression is developed.This paper expounds the neural network models and the learning algorithms with applications to image coding,the corresponding accomplishments and advances.Some unsolved fundamental theoretical problems,such as the principle of image data compression with neural networks,and the classification of the neural networks based image coding methods etc.are discussed.Finally,the prospects for the areas deserving of further research are given.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1995年第7期69-76,共8页
Acta Electronica Sinica
基金
国家自然科学基金
关键词
神经网络
图像编码
映射
优化
模式分类
Neural networks,Image coding,Mapping,Optimization,Pattern classification
