DocumentCode
228431
Title
A novel approach for image compression using zero tree coding
Author
George, Remya ; Manimekalai, M.A.P.
Author_Institution
Dept. of ECE, Karunya Univ., Coimbatore, India
fYear
2014
fDate
13-14 Feb. 2014
Firstpage
1
Lastpage
5
Abstract
In this paper a novel image compression technique based on EZW (Embedded Zero Tree Wavelet Coding) algorithm is presented. EZW algorithm encodes the image to compress it into a bit stream of high accuracy. The proposed technique uses 6 symbols instead of 4 symbols used in Shapiro´s EZW algorithm. This approach can produce higher PSNR and compression ratio than EZW algorithm, without affecting the computing time. In this approach the total no of bits required is also less than EZW algorithm.
Keywords
data compression; image coding; wavelet transforms; PSNR; Shapiro EZW algorithm; embedded zero tree wavelet coding algorithm; image compression; image encoding; zero tree coding; Biomedical imaging; Discrete wavelet transforms; Encoding; PSNR; Radio access networks; Compression Ratio; DWT; Embedded Zero Tree Wavelet Coding; Image Compression; PSNR;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-2321-2
Type
conf
DOI
10.1109/ECS.2014.6892611
Filename
6892611
Link To Document