DocumentCode
2401986
Title
Image compression by using new wavelet bi-orthogonal filter coefficients
Author
Kumar, Vimal ; Agarwal, Surendra Kumar
Author_Institution
Dept. of Electron. & Commun. Eng., Sobhasaria Eng. Coll., Sikar, India
fYear
2012
fDate
15-17 March 2012
Firstpage
1
Lastpage
5
Abstract
In this paper new wavelet bi-orthogonal filter coefficients for wavelet decomposition and reconstruction of image are introduced for better image compression, when the image is compressed by using these filter coefficient in DWT-SPIHT schema then it perform better than DWT-SPIHT schema with wavelet 9/7 filter and wavelet 5/3 filter. The compression result by using these filter coefficient show that the reconstructed image has higher PSNR and low MSE than wavelet 9/7 filter and wavelet 5/3 filter.
Keywords
data compression; image coding; image reconstruction; wavelet transforms; DWT-SPIHT schema; image compression; reconstructed image; wavelet 5/3 filter; wavelet 9/7 filter; wavelet biorthogonal filter coefficients; wavelet decomposition; wavelet reconstruction; Discrete wavelet transforms; Filter banks; Image coding; Image reconstruction; PSNR; Image Compression; Image texture; wavelet 5/3 filter; wavelet 9/7 filter; wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on
Conference_Location
Waknaghat Solan
Print_ISBN
978-1-4673-1317-9
Type
conf
DOI
10.1109/ISPCC.2012.6224339
Filename
6224339
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