In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
An important problem in medical imaging is that of ef?cient volumetric image compression. In addition to compression ef?ciency, scalable representations which allow access to the ...
In thispapel; the problem of the detectionof road networks in Synthetic Aperture Radar (SAR) images is addressed. This task is importantfor the registration ofSAR images to existi...
Philippe Bolon, Jocelyn Chanussot, Imad Issa, Patr...
We study the scalable management of XML data in P2P networks based on distributed hash tables (DHTs). We identify performance limitations in this context, and propose an array of t...
This paper proposes a blind audio watermark extraction technique that allows performing watermark decoding while installing data synchronization. The proposed decoding algorithm e...