期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：4
页码：2270-2278
出版社：Buldanshahr : IJECSE
摘要：This paper addresses the problem of denoising the seismic data through improved curvelet transform. The curvelet transform is a multi-scale directional transform developed as an improvement over wavelet transform.To reduce the noise or to improve the quality of s eismic data we have used two parameters i.e. quantitative and qualitative. For quantity we will compare peak signal to noise ratio (PSNR). Higher the PSNR better the quality of the seismic data. For quality we compare visual effect of data. In this paper we proposed a Curvelet Transformation based seismic data denoising, which is combined with wavelet transform and gabor filter in curvelet domain. The simulation results show that the improved curvelet transform can achieve an almost complete data reconstruction and give comparatively high PSNR which cannot be achieved by conventional methods of denoising
