Add to ORKGpedersinsartitubaroeletpolimiit Signal decimation aimed at optimal spectral packing has a variety of applications in areas ranging from array pro cessing to image processing In this article we propose and discuss a new method for determining decimation grid and prelter that best t the spectral extension of any D signal dened on an arbitrary sampling lattice The method has been implemented and tested on digital images in order to evaluate quality degradation due to optimal spectral truncation Sampling multidimensional analog signals causes their spectrum to replicate over a regular point structure whose density is inversely proportional to the samplin
The sampling of images may evoke undesirable perceptual phenomena, such as spatial structure, field ...
Traditional spectral imagers require 2-dimensional detectors. We present a new method to im-plement ...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
Abstract: Signal decimation aimed at optimal spectral packing has a variety of applications in areas...
Signal decimation aimed at optimal spectral packing has a variety of applications in areas ranging f...
In this paper we propose and discuss a new technique for reducing the spectral redundancy of 2D digi...
In this paper we propose and discuss a new technique for reducing the spectral redundancy of 2D digi...
Signal decimation aimed at optimal spectral packing has a variety of applications in areas ranging f...
For multidimensional band-limited functions, the Nyquist density is defined as that density correspo...
We propose a restoration algorithm for band limited images that considers irregular/n(perturbed) sam...
peer reviewedA generalized iterative algorithm for spectral signal deconvolution is presented in thi...
Spectral imaging systems capture spectral and spatial information from a scene to produce a spectral...
Digital image restoration requires some knowledge of the degradation phenomena in order to attempt a...
This thesis is dedicated to demosaicing and deblurring problems in digital image processing and thei...
This paper studies the sequential sampling scheme, as a solution to the problem of aliasing, where t...
The sampling of images may evoke undesirable perceptual phenomena, such as spatial structure, field ...
Traditional spectral imagers require 2-dimensional detectors. We present a new method to im-plement ...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
Abstract: Signal decimation aimed at optimal spectral packing has a variety of applications in areas...
Signal decimation aimed at optimal spectral packing has a variety of applications in areas ranging f...
In this paper we propose and discuss a new technique for reducing the spectral redundancy of 2D digi...
In this paper we propose and discuss a new technique for reducing the spectral redundancy of 2D digi...
Signal decimation aimed at optimal spectral packing has a variety of applications in areas ranging f...
For multidimensional band-limited functions, the Nyquist density is defined as that density correspo...
We propose a restoration algorithm for band limited images that considers irregular/n(perturbed) sam...
peer reviewedA generalized iterative algorithm for spectral signal deconvolution is presented in thi...
Spectral imaging systems capture spectral and spatial information from a scene to produce a spectral...
Digital image restoration requires some knowledge of the degradation phenomena in order to attempt a...
This thesis is dedicated to demosaicing and deblurring problems in digital image processing and thei...
This paper studies the sequential sampling scheme, as a solution to the problem of aliasing, where t...
The sampling of images may evoke undesirable perceptual phenomena, such as spatial structure, field ...
Traditional spectral imagers require 2-dimensional detectors. We present a new method to im-plement ...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...