A two-stage rice-based lossless compression method for telemetry data

Fast Two-Stage Lempel-Ziv Lossless Numeric Telemetry Data Compression Using a Neural Network Predictor

Lempel-Ziv (LZ) is a popular lossless data compression algorithm that produces good compression performance, but suffers from relatively slow processing speed. This paper proposes an enhanced version of the Lempel-Ziv algorithm, through incorporation of a neural pre-processor in the popular predictor-encoder implementation. It is found that in addition to the known dramatic performance increase...

A Two-Stage Scheme for Lossless Compression of Images

A two-stage lossless image compression scheme is presented , the rst stage of which decorrelates the raw image data by using a two-dimensional, causal linear predic-tor, resulting in signiicant entropy reduction. The second stage uses standard coding techniques. Diierent two-stage schemes are compared with respect to their performances on several images, using bilevel coding, arithmetic coding,...

Pattern Based Lossless Data Compression

In this paper we discuss a method for lossless data compression (LDC) which relies on finding a set of patterns (each of these patterns will be called a metasymbol) in a set of data whose elements (which we will call symbols) are of arbitrary size and which is, itself, also of arbitrary size. This arbitrary data set will be called a message. In order to achieve LDC two things are necessary: a) ...

Two-Stage Lossy/Lossless Compression of Grayscale Document Images

A lossless compression algorithm for hyperspectral data

In this paper, which is an expository account of a lossless compression techniques that have been developed over the course of a sequence of papers and talks, we have sought to identify and bring out the key features of our approach to the efficient compression of hyperspectral satellite data. In particular we provide the motivation for using our approach, which combines the advantages of a clu...