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
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;
Conference_Titel :
Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on
Conference_Location :
Waknaghat Solan
Print_ISBN :
978-1-4673-1317-9
DOI :
10.1109/ISPCC.2012.6224339
