摘要
地震图像资料的解释和后续处理中的重点环节是如何有效地降除地震资料记录中的噪声。高效的地震资料降噪算法在较好降除噪声的同时可以将图像的边缘信息予以较好的保留。论文首先全面地介绍了全变分去噪模型,同时详细介绍了参数的选取方法,最后进行实验和模型验证。结合小波阈值降噪方法进行比较,实验结果表明全变分降噪方法在很好地消除地震信号图像中的噪声,大面积提高信号剖面质量的同时,可以有效提高地震资料的信噪比。
Noise muffling of seismic records are a significant step in seismic data processing and it is of great importance in processing and interpreting seismic data subsequently .A valid denoising method not only can effectively reduce noise ,but also is good at keeping the edge＇s information of the image .The analysis of the denoising model on the basis of the total vari-ation method and its parameters＇selection are shown in detail .Model test and simulation experience are given .The simula-tion results show that the total variation method demonstrates good effectiveness in eliminating the noises of seismic signals , making great improvement on quality of the profile and the signal to noise ratio for seismic data .Consequently ,conclusion can be made that the total variation method has broad application prospects in seismic data processing .
出处
《计算机与数字工程》
2014年第7期1271-1274,共4页
Computer & Digital Engineering
关键词
全变分
图像去噪
地震信号
total variation
image denoising
seismic signals
