应用小波变换技术的图象噪声消除新方法

An New Image Denoising Method Using Wavelet Transformation Technique

提出了基于小波变换技术消除高斯噪声和 speckle噪声的图象去噪声方法 ,并用合成孔径雷达图象数据对所提出的方法进行了验证 .实验结果表明 :提出的方法和传统的方法相比 ,在消除图象中高斯噪声和 speckle噪声十分有效 .该方法也可以广泛地应用于受噪声污染的各种图象噪声消除 ,特别适用于微波 C波段和 X波段遥感图象数据 .

An image denoising method of removing Gaussian noise and speckle noise based on wavelet transformation technique is proposed.The Synthesis Aperture Radar (SAR) image data are applied to test efficiency of these methods. The experimental results show that in comparison with conventional ways, these methods have effects on Gaussian noise and speckle noise in image data. The methods can be applied in a variety of image data contaminated by noise, especially the remote sensing data of microwave both C and X band.