By Topic

Fast wavelet transform for color image compression

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yonglin Sun ; Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA ; Bow, S.T.

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

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

16-19 Sep 1996