By Topic

Irregular image sub-sampling and reconstruction by adaptive sampling

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)
H. Le Floch ; Team TEMIS, IRISA, Rennes, France ; C. Labit

An irregular adaptive sampling algorithm for a compact image representation is presented. A scattered data interpolation algorithm based on an inverse distance weighted method has been chosen. The goal is to compute the values and the locations of a fixed number of samples to approximate efficiently a natural grey-level image. These values are found by the means of a relaxation process. In the context of image coding, the sample values and sample locations have to be coded. A quantization is applied on the sample values and thus reduces the amount of information. The samples location are represented through a binary image which is coded using an arithmetic coder

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:3 )

Date of Conference:

16-19 Sep 1996