小波变换图像多聚焦模糊特征自动增强仿真  

Multi-Focus Fuzzy Feature Automatic Enhancement Simulation of Wavelet Transform Image

作　　者：海洁[1] HAI Jie(School of Electronics and Information Engineering SIAS International University,Xinzheng Henan 451150,China)

机构地区：[1]郑州大学西亚斯国际学院

出　　处：《计算机仿真》2019年第11期360-364,共5页Computer Simulation

基　　金：郑州大学西亚斯国际学院校级教改重点项目(2017JGZD07);河南省民办普通高等学校品牌专业建设项目(教政法[2008]502号)

摘　　要：传统方法对图像多聚焦模糊模糊特征进行增强后,会出现图像不清晰、细节丢失现象,所以提出一种小波变换图像多聚焦模糊特征增强方法。利用背景差分法将目标图像的前景区域提取出来,因背景区域亮度会随时间发生变化,进而完成背景区域特征的更新;通过定义尺度和平移基函数,引入离散小波变换,完成多聚焦模糊特征提取;根据全局像素点熵值和预设阈值校正加强模糊特征,突出小波变换图像边界局部纹理细节信息,完成多聚焦模糊特征增强变换。经过仿真证明,相对于传统方法,所提方法能够更好对图像的模糊特征增强,且增强后的图像细节清晰鲁棒性高,具有良好的视觉表达效果。After the traditional method enhances the multi-focus fuzzy feature of the image, the image is not clear and the details are lost, so a wavelet transform image multi-focus fuzzy feature enhancement method is proposed. The foreground region of the target image is extracted by the background difference method, because the brightness of the background region will change with time, and then the feature of the background region will be updated. By defining the scale and moving basis function and introducing discrete wavelet transform, the multi-focus fuzzy feature extraction is completed. According to the entropy value of global pixel and preset threshold, the fuzzy feature is corrected and strengthened, the local texture details of wavelet transform image boundary are highlighted, and the multi-focus fuzzy feature is completed. Enhance transformation. The simulation results show that, compared with the traditional method, the proposed method can enhance the fuzzy features of the image better, and the enhanced image details are clear and robust, and have a good visual expression effect.

关 键 词：小波变换 图像 多聚焦模糊特征 增强 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]