基于深度学习的图像处理技术  

Image Processing Technology Based on Deep Learning

作　　者：李胜旺[1] 韩倩 LI Sheng-wang;HAN Qian(Hebei University of Science and Technology,Shijiazhuang Hebei 050018)

机构地区：[1]河北科技大学,河北石家庄050018

出　　处：《数字技术与应用》2018年第9期65-66,共2页Digital Technology & Application

摘　　要：随着信息时代的不断发展,深度学习已经贯穿计算机各个领域,如人工智能、图像识别、文字识别等领域的不断优化不断发展都跟深度学习有联系。事实证明,深度学习已经成为促进各个领域不断向前进步的必然趋势。因此,本文就对深度学习以及在图像处理上面的研究和应用做一个简要的了解,首先学习图像处理和深度学习技术的相关概念,然后阐述一下深度学习在图像处理技术上的一些应用,最后对深度学习在图像处理领域的影响作用做一个总结。With the continuous development of the information age,deep learning has been running through various fields of computer,such as artificial intelligence,image recognition,text recognition and other fields of continuous development of optimization are related to depth learning.It has been proved that in-depth learning has become an inevitable trend to promote progress in various fields.Therefore,this paper makes a brief understanding of depth learning and the research and application of image processing.First,we learn the related concepts of image processing and depth learning technology.Then some applications of depth learning in image processing are described.Finally,the effect of depth learning on image processing is summarized.

关 键 词：深度学习 图像处理 图像去噪 图像分类 图像增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]