Random Noise Attenuation Based on Soft and Hard Threshold Compromise in Curvelet Domain
Cnooc Lt · Chinese Journal of Engineering Geophysics · 2013
The random noise attenuation is a very important step in seismic data processing.According to the optimal approximation property of the second curvelet transform about smooth and second-order continuous differentiable singular function.A new threshold method of random noise attenuation is proposed based on curvelet transform.With regard to the model,the difference in curvelet domain between signal and noise is discussed and the seismic data are processed based on the proposed method.The results show that this method can not only attenuate the random noise and enhance signal to noise ratio in seismic data,but also protect the integrity of seismic data from damage.