Paper: | IMDSP-P5.1 |
Session: | Image Coding |
Time: | Wednesday, May 17, 10:00 - 12:00 |
Presentation: |
Poster
|
Topic: |
Image and Multidimensional Signal Processing: Still Image Coding |
Title: |
Lossless Compression Based on a Discrete and Exact Radon Transform: A Preliminary Study |
Authors: |
Florent Autrusseau, Benoit Parrein, Myriam Servieres, IRCCyN-IVC, France |
Abstract: |
This article presents a new lossless compression algorithm based on a Finite Radon Transform. The baseline of this work consists in encoding the difference between several similar finite Radon projections. Two differential encoding techniques are needed to efficiently encode the Radon data. An intra-projection encoding technique is first performed; this differential encoding process takes benefit of the redundancy present within the projections. The second step consists in encoding the similarities between the projections; this is the inter-projection encoding process. The used Finite Radon transform (called Mojette transform), ensures both compression and data redundancy, which places this work in a joint source-channel framework. The main novelty of this work is the use of a secure distributed storage or transmission tool in a lossless compression context. |