By Topic

Edge-preserving image coding based on local modeling of images

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)
Yao Wang ; Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA ; Mitra, Sanjit K.

A coding scheme which encodes each contiguous block of an image based on its local structure is developed. Three different types of models are constructed to characterize the image patterns occurring most frequently in a small block. The average bit rate is reduced by making use of the special constraint among the pixels in an oriented model, where the intensity variation is along only one direction. Judging from the image quality around edges, the reconstructed images with a bit rate less than 0.68 bit/pixel are perceptually superior to those obtained by the block and truncation coding at a bit rate of 1.64 bits/pixel. The complexity of this algorithm increases linearly with the size of the block and the number of orientations considered, which is much lower than that of the standard vector quantization techniques

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988