DocumentCode
2542039
Title
A Study of Image Compression Technique Based on Wavelet Transform
Author
Tan Yan Mei ; Cao Hua ; Tan Jiang Bo ; Li Wei
Author_Institution
Guangxi Technol. Coll. of Machinery & Electr., Nanning, China
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
826
Lastpage
828
Abstract
Wavelet transformation is widely used in the fields of image compression because of good characteristics. The algorithm what is discussed in this paper employs wavelet toolbox of MATLAB. The original image is de-noised by using the functions of wavelet toolbox first. Then image must be quantified and coded. The simulation results show that the algorithm has excellent effects in the image reconstruction, and the study shows valuable in image compression.
Keywords
image coding; image denoising; image reconstruction; wavelet transforms; image compression; image denoising; image reconstruction; wavelet toolbox; wavelet transform; Image coding; Image reconstruction; MATLAB; Transform coding; Wavelet analysis; Wavelet transforms; image compression; image de-noising; image reconstructed; wavelet transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.209
Filename
5715559
Link To Document