Flexible surface multiple attenuation using the curvelet transform
نویسنده
چکیده
In this paper, we demonstrate that better primary preservation and effective surface multiple attenuation can be achieved by applying various iterative surface multiple attenuation approaches in different domains and in different areas. In areas where smaller moveout separation between primary and multiple exist, a conservative least-squares adaptive subtraction method is used to preserve primaries. The magnitude and phase thresholding approach in the complex curvelet transform domain is applied to other areas when local, more aggressive adjustments of the model traveltime or amplitude are required to effectively attenuate multiples and preserve primaries at the same time.
منابع مشابه
Novel Automated Method for Minirhizotron Image Analysis: Root Detection using Curvelet Transform
In this article a new method is introduced for distinguishing roots and background based on their digital curvelet transform in minirhizotron images. In the proposed method, the nonlinear mapping is applied on sub-band curvelet components followed by boundary detection using energy optimization concept. The curvelet transform has the excellent capability in detecting roots with different orient...
متن کاملImage Fusion on Multi Focused Images using NSCT
In this paper we put forward an image fusion algorithm based on Wavelet Transform, Second Generation Curvelet Transform and Nonsubsampled Contourlet Transform. Here we analyze the characteristics of NSCT along with Wavelet and Curvelet Transform for simulation experiments on multi-focus images. Here it includes multiresolution analysis ability in wavelet transform, also has better direction abi...
متن کاملAutomated Skin Defect Identification System for Fruit Grading Based on Discrete Curvelet Transform
The purpose of this study was to develop a methodology for assessing fruit quality objectively using texture analysis based on Curvelet Transform. Being a multiresolution approach, curvelets have the capability to examine fruit surface at low and high resolution to extract both global and local details about fruit surface. The fruit images were acquired using a CCD color camera and guava and le...
متن کاملHybrid Super Resolution using SWT and CT
Super resolution is the process of reconstructing high resolution(HR) image from multiple low resolution(LR) images of a scene . LR images are at a specific pixel shift from each other. High Resolution(HR) grids are formed from these LR images using Stationary Wavelet Transform (SWT) by image registration. Interpolation of the missing pixel in the HR grid is done using Curvelet Transform(CT). E...
متن کامل