Title :
A new algorithm for monochromatic image compression
Author :
Mello, Carlos A B ; Neto, Leopoldo R Francça ; Lins, Rafael D.
Author_Institution :
Dept. de Inf., Univ. Federal de Pernambuco, Recife, Brazil
Abstract :
This paper presents a new algorithm for image compression which makes use of a variation of the run-length encoding and Huffman codes. This algorithm was tested on monochromatic images of letters and documents. A comparative study with other compression methods is presented. In the best case, our algorithm is almost 53% more efficient than the version of the Lempel-Ziv-Welch algorithm used in GIF files.
Keywords :
Huffman codes; data compression; document image processing; image coding; runlength codes; GIF files; Huffman codes; Lempel-Ziv-Welch algorithm; documents; efficiency; letters; monochromatic image compression algorithm; run-length encoding; Color; Data acquisition; Filtering; Image coding; Image generation; Image processing; Image resolution; Image storage; Ink; Testing;
Conference_Titel :
EUROMICRO 97. New Frontiers of Information Technology., Proceedings of the 23rd EUROMICRO Conference
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-8186-8129-2
DOI :
10.1109/EURMIC.1997.617293
