Digital Signal Processing


Error Concealment by Means of Motion Refinement and Regularized Bregman Divergence

Authors: Alessandra M. Coelho, Vania V. Estrela, Felipe P. do Carmo, Sandro R. Fernandes, V. V. Estrela, Vania Vieira Estrela

This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization. Error concealment intends to improve the effects of disturbances at the reception due to bit-errors or cell loss in packet networks. Bregman regularization gives accurate answers after just some iterations with fast convergence, better accuracy, and stability. This technique has an adaptive nature: the regularization functional is updated according to Bregman functions that change from iteration to iteration according to the nature of the neighborhood under study at iteration n. Numerical experiments show that high-quality regularization parameter estimates can be obtained. The convergence is sped up while turning the regularization parameter estimation less empiric, and more automatic.

Comments: 8 Pages. Proceedings of the IDEAL 2012, Springer Verlag, 2012

Download: PDF

Submission history

[v1] 2017-08-18 05:45:49

Unique-IP document downloads: 24 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus