Title :
Using the coefficient of variation to improve the sparsity of seismic data
Author :
Al-Marzouqi, Hasan ; AlRegib, Ghassan
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol. Atlanta, Atlanta, GA, USA
Abstract :
In this work we propose using the coefficient of variation as a cost function to improve seismic data representation in the curvelet domain. Performance improvement is demonstrated in denoising and compressed sensing data recovery. The demonstrated approach can be extended to other seismic applications and alternate transforms.
Keywords :
geophysical techniques; seismology; alternate transforms; compressed sensing data recovery; cost function; curvelet domain; seismic applications; seismic data representation; seismic data sparsity; variation coefficient; Cost function; Entropy; Indexes; Noise reduction; Seismic measurements; Transforms; Compressed Sensing; Curvelet; Sparsity;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736967
