Lossy Data Compression Using Logarithm
Vivek Kumar, Srijita Barthwal, Rishabh Kishore, Ruchika Saklani, Anuj, Sharma, Sandeep Sharma
TL;DR
This paper introduces LDCL, a lossy data compression technique that uses logarithmic transformations to effectively reduce binary data size, achieving high compression ratios while leveraging perceptual limitations.
Contribution
The paper presents a novel logarithmic-based lossy compression method for binary data, demonstrating significant compression ratios in various scenarios.
Findings
Achieves up to 60x compression ratio in major cases
Utilizes logarithmic transformation for effective data reduction
Applicable to binary data with perceptual limitations
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
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Taxonomy
TopicsAdvanced Data Compression Techniques · Algorithms and Data Compression · Digital Filter Design and Implementation