基于小波变换的模糊图像处理系统设计与实现  

Design and implementation of fuzzy image processing system based on wavelet transform

作　　者：黄勇杰 田喜平 HUANG Yongjie;TIAN Xiping(School of Software,Anyang Normal University,Anyang 455000,China)

机构地区：[1]安阳师范学院软件学院,河南安阳455000

出　　处：《现代电子技术》2018年第19期63-66,70,共5页Modern Electronics Technique

摘　　要：采用传统系统对模糊图像进行处理时,存在耗费时间长、处理效果差等问题,因此提出基于小波变换的模糊图像处理系统的设计。根据系统架构的界面层和逻辑层两个层次,对系统硬件和软件进行设计。硬件架构核心部分是由芯片和现场可编程门阵列以及集成电路组成;根据小波特性,分析系数特征,结合图像处理技术进行逆向变换,由此设计软件功能。将模糊图像进行小波分解与重构,并在集成电路上实现小波算法。通过实验验证结果可知,该系统的设计具有图像处理时间短、效果好等优势,可满足高效处理模糊图像标准。The traditional system used to process the fuzzy images has the problems of long time consumption and poor processing effect.Therefore,the design of fuzzy image processing system based on wavelet transform is put forward.The system hardware and software are designed according to the interface layer and logic layer of the system architecture.The core of the hardware architecture is made up of the chip,field programmable gate array and integrated circuit.According to the characteristics of wavelet,the characteristics of the coefficient are analyzed,and the image processing technology is combined for the reverse transform to design the software functions.The wavelet decomposition and reconstruction are carried out for the fuzzy image.The wavelet algorithm is realized on the integrated circuit.The experimental results show that the design of the system has the advantages of short image processing time and perfect effect,and can meet the efficient processing standard of fuzzy image.

关 键 词：小波变换 模糊图像 图像处理 集成电路 分解 重构 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]