A Joint Simplification and Compression Method for Vector-Based Image Representations

In this paper, we propose a new compression algorithm for vector-based image representations as used in Postscript or Macromedia Flash. We present a joint optimization method combining geometric simplification techniques and quantization in a single frame-work. Both optimization techniques are usually used indepen-dently. We propose an optimal algorithm in the operational rate-distortion sense to solve the problem. We show that our method gives up to 10 times higher compression ratios for the same quality compared to standard compression methods such as trellis coding.

By: Laurent L Balmelli

Published in: RC22306 in 2001

LIMITED DISTRIBUTION NOTICE:

This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.

RC22306.pdf

Questions about this service can be mailed to reports@us.ibm.com .