Title :
Binary-Tree SPIHT Coding for True Bidimensional Wavelet Decomposition
Author :
Guo, Yingchun ; Yu, Ming ; Lin, Xiaojing ; Liang, Yanhong
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
The conventional image coding metrics based wavelet focus on separable wavelet decomposition, which are not fit for human visual system to extract natural images features, while true dimensional wavelet decomposition can deal with them. This paper studied construction of true bidimensional wavelet filter banks and analyzed similarity of decomposed subbands, furthermore, presented a kind of binary-tree coding by using wavelet trees organized by quad-tree SPIHT for reference. Experiments show that at low bitrates this coding scheme gives results superior to those of quad-tree SPIHT on famous 97 wavelet.
Keywords :
binary codes; channel bank filters; feature extraction; image coding; tree codes; wavelet transforms; bidimensional wavelet filter banks; binary-tree SPIHT coding; human visual system; image coding metrics; image processing; natural images feature extraction; quad-tree SPIHT; true bidimensional wavelet decomposition; wavelet trees; Computer science; Filter bank; Frequency; Image coding; Intelligent networks; Intelligent systems; Software engineering; Voice mail; Wavelet analysis; Wavelet coefficients; binary Tree SPIHT Coding; image processing; quad-tree SPIHT coding; true bidimensional Wavelet;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.100
