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» Image representation by compressed sensing
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ICASSP
2011
IEEE
14 years 3 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
ICIP
2007
IEEE
16 years 1 months ago
Encoding Parameter Estimation for RDTC Optimized Compression and Streaming of Image-Based Scene Representations
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
Ingo Bauermann, Eckehard G. Steinbach
ITCC
2005
IEEE
15 years 5 months ago
Hypergraph Lossless Image Compression
Hypergraphs are a very powerful tool and can represent many problems. In this paper we define a new image representation based on hypergraphs. This representation conducts to a n...
Alain Bretto, Luc Gillibert
ICIP
2010
IEEE
14 years 9 months ago
Multiview image compression using a layer-based representation
We propose a novel compression method for multiview still images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers character...
Andriy Gelman, Pier Luigi Dragotti, Vladan Velisav...
ICIP
2005
IEEE
16 years 1 months ago
The M-term pursuit for image representation and progressive compression
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...
Adel Rahmoune, Pierre Vandergheynst, Pascal Frossa...