Abstract. High-resolution image reconstruction from sparse data is an important problem in sensor array imag-ing (SAI). The reconstructed images from such a data re poorly resolved. However, there may exist possibilities of making multiple measurements, for example, collecting many frames of data in a dynamic scene situation where there is relative motion between the object and the receiver. We discuss here a method of reconstructing good-quality images from multiple frames of sparse data obtained from a simulated dynamic scene situation. This method, based on projection onto convex sets (POCS), not only restricts the solution set by satisfying the constraints in the multiple measurements butalso reconstructs a high-resolution image
One problem which has remained deeply rooted in multi-view geometry is the reconstruction of a three...
<p>Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded ...
This dissertation studies the feasibility of enhancing the spatial resolution of multi-look remotely...
High-resolution image reconstruction from sparse data is an important problem in sensor array imagin...
The method of projection onto convex sets (POCS) is used in signal reconstruction to find a function...
Spatial resolution improvement of digital images has significant applications in remote sensing and ...
We propose a novel method to accurately reconstruct a set of images representing a single scene from...
Several algorithms have been proposed to enhance the resolution of a reference image from multiple s...
Abstract—Compressed sensing is applied to multiview image sets and the high degree of correlation be...
AbstractA computationally-efficient method for recovering sparse signals from a series of noisy obse...
Abstract—Solving a convex set theoretic image recovery problem amounts to finding a point in the int...
Abstract—We propose an algorithm that enhances the pixel number in high-speed camera image acquisiti...
Signal and image processing is important in a wide range of areas, including medical and astronomica...
To solve the problem on inaccuracy when estimating the point spread function (PSF) of the ideal orig...
We propose a sparse reconstruction method based on compressed sensing theory for aperture synthesis ...
One problem which has remained deeply rooted in multi-view geometry is the reconstruction of a three...
<p>Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded ...
This dissertation studies the feasibility of enhancing the spatial resolution of multi-look remotely...
High-resolution image reconstruction from sparse data is an important problem in sensor array imagin...
The method of projection onto convex sets (POCS) is used in signal reconstruction to find a function...
Spatial resolution improvement of digital images has significant applications in remote sensing and ...
We propose a novel method to accurately reconstruct a set of images representing a single scene from...
Several algorithms have been proposed to enhance the resolution of a reference image from multiple s...
Abstract—Compressed sensing is applied to multiview image sets and the high degree of correlation be...
AbstractA computationally-efficient method for recovering sparse signals from a series of noisy obse...
Abstract—Solving a convex set theoretic image recovery problem amounts to finding a point in the int...
Abstract—We propose an algorithm that enhances the pixel number in high-speed camera image acquisiti...
Signal and image processing is important in a wide range of areas, including medical and astronomica...
To solve the problem on inaccuracy when estimating the point spread function (PSF) of the ideal orig...
We propose a sparse reconstruction method based on compressed sensing theory for aperture synthesis ...
One problem which has remained deeply rooted in multi-view geometry is the reconstruction of a three...
<p>Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded ...
This dissertation studies the feasibility of enhancing the spatial resolution of multi-look remotely...