DocumentCode
2084474
Title
Images Compression Using Dual Tree Complex Wavelet Transform
Author
Fang, Li Hui ; Feng, Miao Guo ; Jie, Xu Hou
Author_Institution
Sch. of Electron. Inf., Northwestern Polytech. Univ., Xi´´an, China
Volume
1
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
559
Lastpage
562
Abstract
In this paper, a new image compression algorithm that is based on DT-CWT and SPIHT is presented. Approximate shift invariance, good directional selectivity, computational efficiency properties of DT-CWT make it a good candidate for image compression. A modified SPIHT algorithmic, named as simple SPIHT, is introduced in order to increase its efficiency for image compression. The proposed simple SPIHT algorithms, which is based on not only the relationship between the bit-planes and the target bit-rate but also the relationship between the initial threshold and the target bit-rate, can effectively reduce the computation time and required memory space. Experimental results show that the proposed image compression method is efficient in terms of compression performance.
Keywords
data compression; image coding; wavelet transforms; bit-planes; computation time reduction; computational efficiency properties; directional selectivity; dual tree complex wavelet transform; image compression algorithm; initial threshold; memory space; modified SPIHT algorithmic; shift invariance; target bit-rate; Discrete wavelet transforms; Filter bank; Image coding; Image reconstruction; PSNR; PSNR; SPIHT; discrete wavelet transform; dual tree complex wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location
Xi´an
Print_ISBN
978-1-4244-7669-5
Electronic_ISBN
978-1-4244-7670-1
Type
conf
DOI
10.1109/ISME.2010.213
Filename
5572546
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