Abstract
In this paper, digital image enhancement method is studied and the theory of choosing hard-threshold and soft-threshold in wavelet transform is analyzed, and according to the trait of seismic data, the wavelet threshold is improved. Through the verification of the seismic images in Daqing oil field the new threshold function can effectively remove Gaussian white noise and impulse noise, and the image enhancement effect is remarkable.
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© 2011 Springer-Verlag Berlin Heidelberg
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Chang-Qing, M. (2011). Research and Application on Seismic Image Enhancement Based on Wavelet Transformation. In: Lee, G. (eds) Advances in Automation and Robotics, Vol. 2. Lecture Notes in Electrical Engineering, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25646-2_27
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DOI: https://doi.org/10.1007/978-3-642-25646-2_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25645-5
Online ISBN: 978-3-642-25646-2
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