摘要
图像处理的目的就是对数字化后的信息进行某些运算和处理,以提高图像的质量或达到人们所要求的预期结果。小波被看做一种用于多层次分解函数的数学工具。图像信号经过小波变换后可以用小波系数来描述,小波系数体现了原图像信息的性质,图像信息的局部特征可以通过处理小波系数来改变。
The objective to image processing is to perform certain operation and processing of digital information,in order to improve the image quality and achieve the desired results of what is required.Wavelet is a mathematical tool used to multi-level decomposition function.Wavelet coefficients can be used to describe the image signal that after wavelet transform,wavelet coefficient reflects the properties of the information of the original image,the local feature of image information can be changed by the wavelet coefficients.
出处
《科技广场》
2013年第1期14-16,共3页
Science Mosaic
关键词
小波变换
图像去噪
阈值
Wavelet Transform
Image De-noising Smoothing
Threshold Value