DocumentCode :
2564621
Title :
Multiwavelet in comparison with Barkel wavelet and 9/7 wavelet in image compression
Author :
Muhsen, Zahraa F. ; Alzubaydi, Dhia A. ; Alnsour, Ayman J
Author_Institution :
Fac. of Sci. & Inf. Technol., Isra Private Univ., Amman, Jordan
fYear :
2009
fDate :
18-19 Nov. 2009
Firstpage :
295
Lastpage :
298
Abstract :
For best performance in image compression, scalar wavelet requires filters that combine a number of desirable properties, such as orthogonality and symmetry. The Multiwavelet is a complete orthonormal and symmetry. Multiwavelet shows promise in obviating some of the Multiwavelt with orthonormal Barkel wavelet, and 9/7 wavelet in image compression performance on 6 gray scale images. A proposed compression algorithm is used, which include the use of Round function and the Run Length Encoding techniques (RLE). The result is obtained in terms of PSNR, and Bit Rate (BitR). Extensive experimental results demonstrate that Multiwavelet methods exhibit performance high to, or in several cases superior to, the other methods in the proposed algorithm. This matches our expectation based on our results that indicate Multiwavelet have the highest result.
Keywords :
data compression; image coding; wavelet transforms; 9/7 wavelet; Barkel wavelet; gray scale images; image compression; multiwavelet method; run length encoding techniques; scalar wavelet; Decision support systems; Image coding; Image processing; Signal processing; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
Type :
conf
DOI :
10.1109/ICSIPA.2009.5478664
Filename :
5478664
Link To Document :
بازگشت