Fast spatial combinative lifting algorithm of wavelet transform using the 9/7 filter for image block compression

Access Full Text

Fast spatial combinative lifting algorithm of wavelet transform using the 9/7 filter for image block compression

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A new fast spatial combinative lifting algorithm (SCLA) of the wavelet transform using the 9/7 filter for image block compression is proposed. In comparison with its lifting-based implementation, the number of multiplications is reduced by a ratio of 5/12 and the speed of implementation of the wavelet transform is increased.

Inspec keywords: wavelet transforms; matrix algebra; filtering theory; data compression; image coding

Other keywords: fast spatial combinative lifting algorithm; multiplications reduction; image block compression; wavelet transform; 9/7 filter

Subjects: Signal processing theory; Computer vision and image processing techniques; Linear algebra (numerical analysis); Image and video coding; Linear algebra (numerical analysis); Integral transforms in numerical analysis; Integral transforms in numerical analysis; Filtering methods in signal processing

References

    1. 1)
      • A. Cohen , I. Daubechies , J. Feauveau . Biorthogonal bases of compactly supported wavelets. Comm. Pure Appl. Math. , 485 - 560
    2. 2)
      • Skodras, A.N., Christopoulos, C.A., Ebrahimi, T.: `JPEG2000: the up coming still image compression standard', Proc. 11th Portuguese Conf. Pattern Recognition (RECPA00D 20), 11 May 2000, Porto, Portugal, p. 359–366.
    3. 3)
      • S. Mallat . A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Mach. Intell. , 674 - 693
    4. 4)
      • I. Daubechies , W. Sweldens . Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl. , 3 , 247 - 269
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20001239
Loading

Related content

content/journals/10.1049/el_20001239
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading