Title :
Evaluation of zero tree wavelet coders
Author :
Arivazhagan, S. ; Gnanadurai, D. ; Vance, J. R Antony ; Sarojini, K.M. ; Ganesan, L.
Author_Institution :
Dept. of ECE, Mepco Schlenk Engg. Coll., Sivakasi, India
Abstract :
Image compression techniques play a vital role in satellite and multimedia applications. Wavelet transforms have received significant attention recently due to their suitability for a number of signal and image compression applications and they have established their viability for the same. This is mainly due to the lapped nature of this transform and the computational simplicity, which comes in the form of filter bank implementations. In this paper, the performance of zero tree wavelet coders such as the Embedded Zero Tree Wavelet (EZW) coder, Set Partitioning In Hierarchical Trees (SPIHT) coder and Packetizable Zero tree Wavelet (PZW) coder for different levels of decomposition, compression ratios and for different percentage of packet losses are evaluated. PSNR is used as the criteria for the measurement of reconstructed image quality.
Keywords :
data compression; image coding; image reconstruction; transform coding; tree data structures; wavelet transforms; EZW coder; Embedded Zero Tree Wavelet coder; PSNR; PZW coder; Packetizable Zero tree Wavelet coder; SPIHT coder; Set Partitioning In Hierarchical Trees coder; compression ratios; decomposition levels; filter bank implementations; image compression; lapped transform; multimedia applications; packet losses; performance; reconstructed image quality; satellite applications; wavelet transforms; zero tree wavelet coders; Decoding; Discrete wavelet transforms; Educational institutions; Forward error correction; Image coding; Image storage; PSNR; Partitioning algorithms; Performance loss; Wavelet packets;
Conference_Titel :
Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on
Print_ISBN :
0-7695-1916-4
DOI :
10.1109/ITCC.2003.1197581
