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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560911
