DocumentCode
2665122
Title
Fast wavelet transform for color image compression
Author
Sun, Yonglin ; Bow, Sing T.
Author_Institution
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
541
Abstract
In this paper a generalized algorithm for fast Harr wavelet transform was developed for the compression of monochrome and color images, and was evaluated through three quantitative measures: namely, mean square error, mean absolute error and signal-to-noise ratio. Excellent reconstructed images were obtained with high rates of compression. The computational advantage of this 2D FHWT over the conventional 2D FFT is 2.506 for an image of 1024×1024 pixels in size
Keywords
data compression; error analysis; image coding; image colour analysis; image reconstruction; transform coding; transforms; wavelet transforms; 1024 pixel; 1048576 pixel; 2D FHWT; color image compression; fast Harr wavelet transform; fast wavelet transform; generalized algorithm; mean absolute error; mean square error; monochrome image; reconstructed images; signal-to-noise ratio; Color; Electric variables measurement; Image coding; Image processing; Mean square error methods; Pixel; Signal to noise ratio; Sun; Transform coding; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560911
Filename
560911
Link To Document