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» An Architecture for Compressive Imaging
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DCC
1998
IEEE
14 years 2 months ago
Lossy Compression of Partially Masked Still Images
Books and magazines often contain pages containing audacious mixtures of color images and text. Our problem consists in coding the background colors of a such documents without wa...
Léon Bottou, Steven Pigeon
ICIP
2008
IEEE
14 years 11 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
ICIP
2000
IEEE
14 years 11 months ago
Adaptive Scanning Methods for Wavelet Difference Reduction in Lossy Image Compression
This paper describes methods for adapting the scanning order through wavelet transform values used in the Wavelet Difference Reduction (WDR) algorithm of Tian and Wells. These new...
James S. Walker, Truong Q. Nguyen
ICIP
1999
IEEE
14 years 11 months ago
3-D Image Models and Compression: Synthetic Hybrid or Natural Fit?
This paper highlights recent advancesin image compression aided by 3-D geometry information. As two examples, we present a model-aided video coder for efficient compression of hea...
Bernd Girod, Peter Eisert, Marcus A. Magnor, Eckeh...
ICASSP
2008
IEEE
14 years 4 months ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...