CRUSH: A New Lossless Compression Algorithm
Evon Abu-Taieh and
Issam AlHadid
Modern Applied Science, 2018, vol. 12, issue 11, 406
Abstract:
Multimedia is highly competitive world, one of the properties that is reflected is speed of download and upload of multimedia elements- text, sound, pictures, animation. This paper presents CRUSH algorithm which is a lossless compression algorithm. CRUSH algorithm can be used to compress files. CRUSH method is fast and simple with time complexity O(n) where n is the number of elements being compressed.Furthermore, compressed file is independent from algorithm and unnecessary data structures. As the paper will show comparison with other compression algorithms like Shannon–Fano code, Huffman coding, Run Length Encoding, Arithmetic Coding, Lempel-Ziv-Welch (LZW), Run Length Encoding (RLE), Burrows-Wheeler Transform.Move-to-Front (MTF) Transform, Haar, wavelet tree, Delta Encoding, Rice &Golomb Coding, Tunstall coding, DEFLATE algorithm, Run-Length Golomb-Rice (RLGR).
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/0/0/37289/37598 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/0/37289 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:12:y:2018:i:11:p:406
Access Statistics for this article
More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().