Reduction of ECAL data volume using lossless data compression techniques

Lossless Volume Data Compression Schemes

Volumetric data is one of the most frequently generated type of data in modern medical imaging. Technical advances in the respective scanning technologies also increase the amount of data that is generated by a typical scanner. Since 1971 with the introduction of the first CT scanner, the space requirements for representing data have increased rapidly, in essence at an exponential rate. In this...

Analysis of Lossless Data Compression Techniques

Lossless Compression Techniques for Maskless Lithography Data

Future lithography systems must produce more dense chips with smaller feature sizes, while maintaining the throughput of one wafer per sixty seconds per layer achieved by today’s optical lithography systems. To achieve this throughput with a direct-write maskless lithography system, using 25 nm pixels for 50 nm feature sizes, requires data rates of about 10 Tb/s. In a previous paper, we present...

LZAC Lossless Data Compression

This paper presents LZAC, a new universal lossless data compression algorithm derived from the popular and widely used LZ77 family. The objective of LZAC is to improve the compression ratios of the LZ77 family while still retaining the family’s key characteristics: simple, universal, fast in decoding, and economical in memory consumption. LZAC presents two new ideas: composite fixed-variable-le...

Lossless data compression

This thesis makes several contributions to the field of data compression. Lossless data compression algorithms shorten the description of input objects, such as sequences of text, in a way that allows perfect recovery of the original object. Such algorithms exploit the fact that input objects are not uniformly distributed: by allocating shorter descriptions to more probable objects and longer d...