Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received
considerable attention over the past years due to the outstanding results concerning a …

During the image acquisition process, noise is usually added to the data mainly due to
physical limitations of the acquisition sensor, and also regarding imprecisions during the …

A variety of approaches have been proposed for addressing different image restoration
challenges. Recently, deep generative models were one of the mostly used ones. In this …

We answer two questions in this work: what Deep Boltzmann Machines (DBMs) can do for
compression and vise versa. We show that (1) DBMs can be applied to learn the rate …

Image restoration and its different variations are important topics in low-level image
processing. One of the main challenges in image restoration is dependency of current …

Відновлення різкості зображення зі значними деталями з вхідного зашумленого
зображення, вже давно є активною областю досліджень у сфері комп'ютерного зору. Зі …