Skip to Main content Skip to Navigation
Conference papers

Adaptive transmission for lossless image reconstruction

Abstract : This paper deals with the problem of adaptive digital transmission systems for lossless reconstruction. A new system, based on the principle of non-uniform transmission, is proposed. It uses a recently proposed algorithm for adaptive stable identification and robust reconstruction of AR processes subject to missing data. This algorithm offers at the same time an unbiased estimation of the model's parameters and an optimal reconstruction in the least mean square sense. It is an extension of the RLSL algorithm to the case of missing observations combined with a Kalman filter for the prediction. This algorithm has been extended to 2D signals. The proposed method has been applied for lossless image compression. It has shown an improvement in bit rate transmission compared to the JPEG2000 as well as the JPEG-LS standards.
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal-supelec.archives-ouvertes.fr/hal-00392650
Contributor : Karine El Rassi <>
Submitted on : Monday, June 8, 2009 - 4:24:06 PM
Last modification on : Friday, February 8, 2019 - 9:16:03 AM
Long-term archiving on: : Monday, October 15, 2012 - 12:05:31 PM

File

sampta09_vf_.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00392650, version 1

Collections

Citation

Elisabeth Lahalle, Gilles Fleury, Rawad Zgheib. Adaptive transmission for lossless image reconstruction. 8th International Conference on Sampling Theory and Application - SAMPTA'09, May 2009, Marseille, France. CD-ROM proceedings - 4 p. ⟨hal-00392650⟩

Share

Metrics

Record views

170

Files downloads

150