Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

Context-based adaptive arithmetic coding (CAAC) has high coding efficiency and is adopted by the majority of advanced compression algorithms. In this paper, five new techniques are proposed to further ...

1) A compressed sensing-based electricity consumption data compression and synchronous encryption algorithm is proposed. The algorithm effectively leverages the sparse characteristics of voltage and ...

Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors This repository is the official implementation of Compact Decomposition of Irregular Tensors ...

This paper presents a new method of lossless image compression. An image is characterized by homogeneous parts. The bit planes, which are of high weight are characterized by sequences of 0 and 1 are ...

Many scientific simulations and experiments generate terabytes to petabytes of data daily, necessitating data compression techniques. Unlike video and image compression, scientists require methods ...

Image Compression with Arithmetic Coding General Approach Goal To use arithmetic coding to improve on the DCT quanitzation method of encoding an image.