DocumentCode
2294603
Title
Study and Implementation of Entropy Encoding System for Image Compression
Author
Kumar, Shishir ; Singh, Satish Kumar
Author_Institution
Dept. of Comput. Sci. & Eng., Jaypee Univ. of Eng. & Technol., Guna, India
fYear
2010
fDate
19-21 Nov. 2010
Firstpage
186
Lastpage
191
Abstract
In this paper a lossless compression scheme is presented. In this scheme we have compared our newly proposed model with lossless predictive code (LPC) and differential pulse code modulation (DPCM) and we have shown how our model is more advantageous than LPC and DPCM. This newly proposed scheme for Huffman coding will achieve higher compression as we have reduced the mean value of the pixel in the error image tremendously as compared to LPC and DPCM. In other words the newly proposed algorithm proves a good means for lossless image compression.
Keywords
Huffman codes; data compression; entropy codes; image coding; Huffman coding; differential pulse code modulation; entropy encoding system; lossless compression scheme; lossless image compression; lossless predictive code; Differential pulse code modulation; JPEG; MPEG;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
Conference_Location
Goa
ISSN
2157-0477
Print_ISBN
978-1-4244-8481-2
Electronic_ISBN
2157-0477
Type
conf
DOI
10.1109/ICETET.2010.55
Filename
5698317
Link To Document