Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Block coders are among the most common compression tools available for still images and video sequences. Their low computational complexity along with their good performance make ...
Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman ...
Log-polar or spatially-variant image representation is an important component of active vision system in tracking process for many robotic applications due to its data compression ...
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
Hyperspectral images have correlation at the level of pixels; moreover, images from neighboring frequency bands are also closely correlated. In this paper, we propose to use distr...
Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauli...