In this paper, we are evaluating the performance of Huffman and Run Length Encoding
compression algorithms with multimedia data. We have used different types of multimedia …

In this article we present a new compression method, called WLZW, which is a word-based
modification of classic LZW. The modification is similar to the approach used in the Hu_Word …

For many computerized applications, data compression is a standard requirement. In order
to minimize the capacity needed for that data, it decreases the redundancy in data …

This research paper provides lossless data compression methodologies and compares their
performance. Huffman and arithmetic coding are compare according to their performances …

The mainstream lossless data compression algorithms have been extensively studied in
recent years. However, rather less attention has been paid to the block algorithm of those …

Data reduction is one of the data preprocessing techniques which can be applied to obtain a
reduced representation of the data set that is much smaller in volume, yet closely maintains …

This paper works on a detailed and per-formative evaluation of a bit-level, adaptive, and
asymmetric data compression scheme that is based on the adaptive character word length …

Today there are many universal compression algorithms, but in most cases is for specific
data better using specific algorithm-JPEG for images, MPEG for movies, etc. For textual …

Huffman is one of the compression algorithms. It is the most famous algorithm to compress
text. There are four phases in the Huffman algorithm to compress text. The first is to group …