Compressive Imaging (CI) is a potential sensing technology for energy-efficient visual
sensors, and its rate-distortion performance can be improved by adaptive Compressive …

Compressed sensing (CS) is a novel technology to acquire and reconstruct sparse signals
below the Nyquist rate. It has great potential in image and video acquisition and processing …

Video reconstruction quality largely depends on the ability of employed sparse domain to
adequately represent the underlying video in Distributed Compressed Video Sensing …

Low complexity video coding that provides efficient compression with reasonable
reconstruction quality has been a desired requirement for resource-constrained video …

The video reconstruction quality largely depends on the employed sparse representation
which approximates the video frame by a sparse linear combination of items from an over …

Distributed video coding can effectively reduce the complexity in encoder, so it adapt to the
capacityconstrained scenarios, such as the wireless video sensor network. But in wireless …

The new paradigm in mobile services lies in providing a location-based user experience
and here lies the tremendous scope for expansion of location-based services (LBS). One of …

This paper tackles algorithmic and theoretical aspects of dictionary learning from incomplete
and random block-wise image measurements and the performance of the adaptive …

With the continuous development of the embedded systems. The application of the APP in
the embedded portable products is more and more extensive. In order to implement the …

Compressed video sensing (CVS) is one of the 5G application of compressed sensing (CS)
to video coding. Block-based residual reconstruction is used in CVS to explore temporal …