Data compression research papers

There are also sets of different compression algorithms for a single data form, which use different approaches.
This paper assesses lossless algorithms for compression of data and compares their performance.
To assess the performance of compressing text data, images, audio, a set of selected algorithms are used.

So, it fails to address the above-mentioned issue of handling large data in terms of storage and transmission

In order to overcome this challenge, an alternative concept called data compression (DC) has been presented in the literature to compress the size of the data being stored or transmitted

Generally, data compression technique is divided into lossy compression and lossless compression (Sharma and Gupta 2017)

Among this, lossless compression technique is often used to perform a data compression using, such as Huffman, Shannon Fano, Tunstall, Lempel-Ziv-Welch and runlength encoding (Fitriya et al

Data compression is itself a huge field in a computer science and it is used in reducing the size of data by removing the redundant characters or encoding the bits in data

We have used only lossless data compression techniques for compressing various media format files like text, doc, bmp, png and wav