On Progressive Seismic Data Compression Using Genlot

Wavelet and subband coding have been shown eeective techniques for seismic data compression, especially when compared to DCT-based algorithms (such as JPEG), which suuer from blocking artifact at low bit-rates. The transforms remove statistical redundancy and permit eecient compression. This paper presents a novel use of the Generalized Lapped Orthogonal Transforms (GenLOTs) for compression of 24-bits seismic data. The proposed implementation provides a better frequency partition than that of the wavelet scheme. It is used with in the Embedded Ze-rotree Wavelet (EZW) framework, an embedded quantiza-tion scheme, allowing exact bit rate compression and incorporating quality control features. The proposed coder has better performance in SNR comparing to the state of the art Set Partitionning in Hierarchical Trees algorithm (SPIHT).