Seismic data compression based on wavelet transform

New technologies such as multi-dimension, multi-components and high precision methods adopted in seismic exploration make seismic exploration data increase explosively. Large volume seismic data results in serious problems in transmission, storage and processing of the data. In this paper a seismic data compression method based on wavelet transform is proposed. The original data is decomposed into 12 detail sub-bands and 1 low-resolution sub-band with 2- dimensional discrete wavelet transform. The wavelet coefficients of seismic data are encoded with embedded zero-tree wavelet coding algorithm. Experimental results show that the proposed method is capable of efficient compression.