Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
PROGRESSIVE LOSSY-TO-LOSSLESS CODING OF ARBITRARILY-SAMPLED IMAGE DATA USING THE MODIFIED SCATTERED DATA CODING METHOD Michael D. Adams
 

Summary: PROGRESSIVE LOSSY-TO-LOSSLESS CODING OF ARBITRARILY-SAMPLED IMAGE DATA USING THE MODIFIED SCATTERED DATA CODING METHOD
Michael D. Adams
Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, V8W 3P6, Canada
mdadams@ece.uvic.ca
1. Introduction
TO BETTER EXPLOIT the nonstationary and geometric properties of images, many
geometric-based image coders employ arbitrary sampling (i.e., sampling at an arbitrary
subset of points from a lattice). In this context, the need to code arbitrarily-sampled image
data arises. One highly effective scheme for the coding of such data is the scattered data
coding (SDC) method proposed by Demaret and Iske [1]. Unfortunately, the SDC coder,
as originally proposed in [1], has some significant limitations. In particular, the width and
height of the image to be coded are assumed to be equal and integer powers of two, and the
precision of the image sample data is assumed to be relatively small. These assumptions
are not satisfied in many practical situations. Furthermore, the SDC coder, as originally pro-
posed, did not address the issue of progressive coding functionality. In many applications,
progressive coding functionality is beneficial or even required.
2. Objective
The goal of this work was to develop a modified version of the SDC coder that 1) removes
any restrictions on the image width/height and sample-precision; 2) offers improved cod-
ing efficiency; and 3) most importantly provides an efficient progressive lossy-to-lossless

  

Source: Adams, Michael D. - Department of Electrical and Computer Engineering, University of Victoria

 

Collections: Engineering