DocumentCode
2146338
Title
Embedded Zerotree Wavelet Based Image Coding via Quincunx Lifting
Author
Guohua Lu ; Zhan, Yinwei
Author_Institution
Fac. of Comput., Guangdong Univ. of Technol., Guangzhou
Volume
1
fYear
2008
fDate
27-30 May 2008
Firstpage
534
Lastpage
538
Abstract
This paper proposes a simple and symmetrical scheme for the prediction and update operators in quincunx lifting, which is then applied into image coding based on Embedded Zerotree Wavelet (EZW) algorithm. In addition, we present a new strategy for taking quantization threshold by combining the power of 2 with the square of integer. The former is used for image coding at higher bit rates and the latter at lower bit rates. The experimental results demonstrate that the proposed method can improve the quality of the reconstructed image.
Keywords
filtering theory; image coding; image sampling; image segmentation; trees (mathematics); wavelet transforms; embedded zerotree wavelet algorithm; image coding; image quantization threshold; quincunx lifting filters; quincunx sampling; Bit rate; Filter bank; Frequency; Humans; Image coding; Image reconstruction; Image sampling; Quantization; Signal processing; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.692
Filename
4566212
Link To Document