We present an approach for image denoising based on the analysis of the local H?older regularity. The method takes the point of view that denoising may be performed by increasing ...
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 ...
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...