基于盲源分离的图像噪声滤除  

Image Noise Filtering Based on Blind Source Separation

作　　者：李静[1] 赵树波[2] 赵晓东[1] 翟蓓蓓[1] 

机构地区：[1]中北大学信息与通信工程学院,山西太原030051 [2]重庆建设工业(集团)有限责任公司,重庆400054

出　　处：《山西电子技术》2012年第6期5-7,共3页Shanxi Electronic Technology

摘　　要：图像是用各种观测系统以不同形式和手段观测客观世界而获得的,可以直接或间接作用于人眼并进而产生视知觉的实体。图像包含了它所表达的物体的描述信息。科学研究和统计表明,人类从外界获得的信息约有75%来自视觉系统,也就是从图像中获得。人的视觉系统(human visual system,HVS)就是一个观测系统,通过它得到的图像就是客观景物在人心目中形成的影像。图像是人类从外界环境中获取信息的一个重要来源,如何对获取的图像进行加工、编码、压缩、滤除噪声、传输等在图像处理及通信系统中显得尤为重要。盲源分离技术已成为信号处理学界和神经网络学界共同感兴趣的研究热点。The images are observed in different forms and means of various observing systems in the objective world, it is the entity either directly or indirectly acting on the human eye and thus produce visual perception. Tile image contains the object descriptions that it expresses. The scientific research and statistics show that about 75% of human information obtained from outside is from the visual system, that is, from the image. The human visual system （human visual system, HVS） is an observation system; the objective scene is the formed image in the human minds. Tile image is an important source for human to obtain information from the external environ- ment, and how to get the image processing, coding, compression, filtering noise, transmission is particularly important in image pro- cessing and communication systems. Tile blind source separation technology has become tile research focus of academics of signal pro- cessing and neural network circles of common interest.

关 键 词：图像处理 噪声滤波 现象盲源分离 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置]