Simulation and Comparison of Various Lossless Data Compression Techniques based on Compression Ratio and Processing Delay

Analysis of Lossless Data Compression Techniques

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) ...

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...

Lossless and Lossy Data Compression

Data compression (or source coding) is the process of creating binary representations of data which require less storage space than the original data 7; 14; 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits. Achieving optimal compression with respect to resource constraint...

A Review on Lossless Image Compression Techniques

Compression is a technique to reduce the quantity of data without excessively reducing the quality of the data. Image compression is the application of data compression on digital images. Image compression is used to minimize the amount of memory needed to represent an image, for storage or transmission of information. When hearing that image data are reduced, one could expect that automaticall...