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» A Novel Framework for Imaging Using Compressed Sensing
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ICIP
2008
IEEE
14 years 9 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
ISBI
2009
IEEE
14 years 2 months ago
Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing
Functional MRI (fMRI) has been widely accepted as a standard tool to study the function of brain. However, because of the limited temporal resolution of MR scanning, researchers h...
Hong Jung, Jong Chul Ye
ICIP
2008
IEEE
14 years 1 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu
COMPGEOM
2011
ACM
12 years 11 months ago
Compressive sensing with local geometric features
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
SCALESPACE
2007
Springer
14 years 1 months ago
Best Basis Compressed Sensing
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
Gabriel Peyré