Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
We propose an image hashing algorithm that is based on distributed compression principles. The algorithm assumes the availability of a robust feature vector extracted from the ima...
Hypergraphs are a very powerful tool and can represent many problems. In this paper we define a new image representation based on hypergraphs. This representation conducts to a n...