Lossy Data Compression Using Logarithm
Information Theory
2016-04-08 v1 math.IT
Abstract
Lossy compression algorithms take advantage of the inherent limitations of the human eye and discard information that cannot be seen. In the present paper, a technique termed as Lossy Data Compression using Logarithm (LDCL) is proposed to compress incoming binary data in the form of a resultant matrix containing the logarithmic values of different chosen numeric sets. The proposed method is able to achieve compression ratio up to 60 in many major cases. Keywords: LDCL, Lossy Data Compression, Binary Reduction, Logarithmic Approach
Cite
@article{arxiv.1604.02035,
title = {Lossy Data Compression Using Logarithm},
author = {Vivek Kumar and Srijita Barthwal and Rishabh Kishore and Ruchika Saklani and Anuj Sharma and Sandeep Sharma},
journal= {arXiv preprint arXiv:1604.02035},
year = {2016}
}
Comments
Presented in National Conference on Inspired Learning (2015)