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基于小波理论的铁谱图像压缩法
引用本文:陈桂明,杨宝利,王汉功.基于小波理论的铁谱图像压缩法[J].兵工自动化,2004,23(1):44-45.
作者姓名:陈桂明  杨宝利  王汉功
作者单位:第二炮兵工程学院,五系,陕西,西安,710025;第二炮兵工程学院,五系,陕西,西安,710025;第二炮兵工程学院,五系,陕西,西安,710025
摘    要:基于小波变换的铁谱图像压缩法,根据小波函数对铁谱图像进行一层或多层的小波分解.用阈值处理细节系数对1到N层选定阈值,并进行硬阈值处理,把绝对值小于阈值的系数置为0.通过逆小波变换,由阈值处理后的小波系数重构原图像.实验证明该方法压缩比高、速度快,压缩后能保持信号与图像的特征不变.

关 键 词:小波变换  图像压缩  铁谱图像
文章编号:1006-1576(2004)01-0044-02
修稿时间:2003年6月9日

Compression Method of Ferrograph Image Based on Wavelet Theory
CHEN Gui-ming,YANG Bao-li,WANG Han-gong.Compression Method of Ferrograph Image Based on Wavelet Theory[J].Ordnance Industry Automation,2004,23(1):44-45.
Authors:CHEN Gui-ming  YANG Bao-li  WANG Han-gong
Abstract:The compression method of ferrograph image based on wavelet theory is that wavelet transformation of ferrograph image is made with wavelet function. The detail coefficient is processed with threshold value that the value of 1-N layer chosen, and harh-threshold value is processed. Coefficient of threshold value of absolute value less than 1 was set as 0. By wavelet transformation, the original image was recovered with wavelet coefficient processed by threshold value. The test shows that the compression method has higher compression ratio and faster speed, and keeps invariable characteristic of signal and image.
Keywords:Wavelet transform  Image compression  Ferrograph image
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