By Topic

Pyramidal image compression using anisotropic and error-corrected interpolation

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
$33 $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)
You, Y.-L. ; Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA ; Kaveh, M.

In pyramidal coding, the key to significant bit rate reduction is the reduction of interpolation error. This is usually accomplished through well-designed nonlinear interpolation filters, such as median and morphological filters. These filters are usually isotropic, hence cannot account for the anisotropic nature of the images. In addition, these filters base their interpolation solely on the image at the immediate higher level (lower resolution), hence a smaller interpolation error can be expected if the already-transmitted error signals are used for the interpolation of the remaining pixels. In view of these two problems, this paper proposes to decrease the interpolation error through the introduction of anisotropic techniques and the use of the transmitted error signals to improve the interpolation of the remaining pixels. This error is further reduced through the usage of anisotropic diffusion as the low-pass filter. Finally, an anisotropic DPCM coder is presented to code the image at the top of the pyramid

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:4 )

Date of Conference:

7-10 May 1996