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» Example-based image compression
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ICASSP
2008
IEEE
15 years 11 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...
CGF
2008
118views more  CGF 2008»
15 years 5 months ago
Image-Based Surface Compression
We present a generic framework for compression of densely sampled 3D surfaces in order to satisfy the increasing demand for storing large amounts of 3D content. We decompose a giv...
Tilo Ochotta, Dietmar Saupe
ICIP
2010
IEEE
15 years 2 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
2003
IEEE
16 years 6 months ago
Sensing lena-massively distributed compression of sensor images
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...
Sergio D. Servetto
ICIP
2000
IEEE
16 years 6 months ago
Joint Space-Frequency Segmentation, Entropy Coding and the Compression of Ultrasound Images
Joint space-frequency segmentation is a relatively new image compression technique that finds the rate-distortion optimal representation of an image from a large set of possible s...
Ed Chiu, Jacques Vaisey, M. Stella Atkins