Data Compression Lossless
As the need for information storage and data transfer increases, data compression has become increasingly crucial. The purpose of data compression is to reduce the size of data, which is particularly helpful when transferring large files over networks or storing them on limited-capacity devices. With the rise of the internet and mobile devices with limited resources, data compression has become even more essential in conserving storage and bandwidth and shortening download times. There are various techniques to achieve data compression, and in this survey, I will extensively discuss important compression algorithms, evaluate their performance, and highlight their key features. Additionally, I will explore the benefits of combining the RLE and Huffman algorithms to enhance the compression process, and demonstrate how their combined use produces better results than using the RLE algorithm alone.