We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Initial studies have shown that automatic inference of high-level image quality or aesthetics is very challenging. The ability to do so, however, can prove beneficial in many appl...
We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage e cien...
Sergio D. Servetto, Yong Rui, Kannan Ramchandran, ...
Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results ...
A dedicated hardware system is developed for a recent class of nonlinear hybrid filters called Order StatisticsRational Hybrid Filters (OSRHF). The performance of these filters is...
Lazhar Khriji, Giuseppe Bernacchia, Moncef Gabbouj...