摘要
将基于自适应小波阈值滤波和离散余弦变换滤波的迭代去噪技术的图像修复方法引入到返回散射同频干扰的修复问题中,使用澳大利亚的返回散射电离图对算法进行了验证,修复结果的功率信噪比达到40 dB左右。对于实测数据,与传统的修复方法相比,给出的基于小波分解的迭代去噪算法具有更佳统计性能,而且小波方法具有更好的边缘保持能力和结构保持能力,这是返回散射电离图判读的一个重要的性能指标。
An image recovery method based on adaptive wavelet filter, DCT （Discrete Cosine Transform） filter and iterated denoising is introduced into the field of the recovery of radio interference on backscatter ionogram. The algorithm is testified by ionogram of Australia, and the recovery result of PSNR （Power Signal-to-Noise Ratio） is up to the order of 40 dB. The method in this paper has advantages over traditional method, and a better statistical performance is obtained for backscatter data of research center of Hongmen. In addition, the method of wavelet have a better edge effect and ability of keeping structure, which is a important target of auto scaling of backscatter ionogram.
出处
《电波科学学报》
EI
CSCD
北大核心
2007年第3期395-399,共5页
Chinese Journal of Radio Science
基金
国家自然科学基金资助项目(60607010)
关键词
返回散射电离图
同频干扰
小波阈值
迭代去噪
图像修复
backscatter ionogram, radio interference, wavelet threshold, iterated denoising, image recovery
