Add to ORKGCompressive reconstruction algorithm based adaptive dictionary learning is developed and used for single-exposure non-scanning 3D imaging by interferenceless Coded Aperture Correlation Holography. Background noise and reconstruction error are suppressed effectively while reconstruction accuracy is improved
This paper concerns compressive sensing methods for overcoming the pixel-limited resolution of digit...
Compressive holography has attracted significant interest since its introduction three about years a...
Optical scanning holography is a form of digital holographic system, which allows us to capture a th...
Compressive reconstruction algorithm based adaptive dictionary learning is developed and used for si...
Compressive sampling enables signal reconstruction using less than one measurement per reconstructed...
Interferenceless coded aperture correlation holography (I-COACH) was recently introduced for recordi...
We propose an experimental holographic imaging scheme combining compressive sensing (CS) theory with...
We present the results of applying lossless and lossy data compression to a three-dimensional object...
An efficient digital hologram compression algorithm is proposed using the correlation in the complex...
We propose a new denoising algorithm in off-axis Digital Holography (DH) based on l1 norm minimizati...
Compressed sensing has been discussed separately in spatial and temporal domains. Compressive hologr...
The sparsity of signals in a certain transform domain or dictionary has been extended in different a...
This document presents the details of the transmissive coded aperture temporal compressive digital h...
Compressive imaging is an emerging field which allows one to acquire far fewer measurements of a sce...
International audienceIn this paper we propose a compressed sensing (CS) method adapted to 3D ultras...
This paper concerns compressive sensing methods for overcoming the pixel-limited resolution of digit...
Compressive holography has attracted significant interest since its introduction three about years a...
Optical scanning holography is a form of digital holographic system, which allows us to capture a th...
Compressive reconstruction algorithm based adaptive dictionary learning is developed and used for si...
Compressive sampling enables signal reconstruction using less than one measurement per reconstructed...
Interferenceless coded aperture correlation holography (I-COACH) was recently introduced for recordi...
We propose an experimental holographic imaging scheme combining compressive sensing (CS) theory with...
We present the results of applying lossless and lossy data compression to a three-dimensional object...
An efficient digital hologram compression algorithm is proposed using the correlation in the complex...
We propose a new denoising algorithm in off-axis Digital Holography (DH) based on l1 norm minimizati...
Compressed sensing has been discussed separately in spatial and temporal domains. Compressive hologr...
The sparsity of signals in a certain transform domain or dictionary has been extended in different a...
This document presents the details of the transmissive coded aperture temporal compressive digital h...
Compressive imaging is an emerging field which allows one to acquire far fewer measurements of a sce...
International audienceIn this paper we propose a compressed sensing (CS) method adapted to 3D ultras...
This paper concerns compressive sensing methods for overcoming the pixel-limited resolution of digit...
Compressive holography has attracted significant interest since its introduction three about years a...
Optical scanning holography is a form of digital holographic system, which allows us to capture a th...