Seismic data compression using GULLOTS
نویسندگان
چکیده
Recent works have shown that GenLOT coding is a very effective technique for compressing seismic data. The role of a transform in a coder is to concentrate information and reduce statistical redundancy. When used with embedded zerotree coding, GenLOTs often provide superior performance to traditional block oriented algorithms or to wavelets. In this work we investigate the use of Generalized Unequal Length Lapped Orthogonal Transforms (GULLOT). Their shorter bases for high-frequency components are suitable for reducing ringing artifacts in images. While GULLOTs yield comparable performance to GenLOTs on smooth seismic signals like stacked sections, they achieve improved performance on less smooth signals such as shot gathers.
منابع مشابه
Low bit-rate efficient compression for seismic data
Compression is a relatively new introduced technique for seismic data operations. The main drive behind the use of data compression in seismic data is the very large size of seismic data acquired. Some of the most recent acquired marine seismic data sets exceed 10 Tbytes, and in fact there are currently seismic surveys planned with a volume of around 120 Tbytes. Thus, the need to compress these...
متن کاملSeismic data compression and QC using GenLOT
Modern seismic surveys with higher-precision numerization (24-bits A/D converters) have led to ever increasing amounts of seismic data. Management of these large datasets becomes critical, not only for transmission, but also for storage, processing and interpretation. Compression algorithms have been proposed in the geophysicists' community over the past few years as a way to e ectively manage ...
متن کاملGenLOT optimization techniques for seismic data compression
GenLOT coding has been shown an effective technique for seismic data compression, especially when compared to block-based algorithms (such as JPEG), or to wavelets. The transforms remove statistical redundancy and permit efficient compression, when used with advanced encoding techniques, such as the Embedded Zerotree Coding framework. In this work we derive a model for seismic data based on aut...
متن کاملLossless Compression of Seismic Data into Fixed-Length Packets
We present an algorithm to losslessly compress a sequence of integers. The intended application is to encode seismic data at nodes in a network of seismometers. The algorithm performs predictive compression, using adaptive linear filtering to predict sample values and encoding variable numbers of samples into fixed-length packets. To accommodate packet losses, the packets include sufficient ove...
متن کاملLossless Seismic Data Compression using Adaptive Linear Prediction
This paper presents a comparison of adaptive linear pre-dictors as applied to the area of lossless compression of seismic waveform data. Three methods are explored: the normalize least-mean square (NLMS) algorithm, the gradient adaptive lattice (GAL) algorithm, and the recursive least squares lattice (RLSL) algorithm. When compared to standard linear prediction techniques, all three of these me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001