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ICIP
1995
IEEE
14 years 6 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey
ICIP
2008
IEEE
14 years 6 months ago
Resolution-progressive compression of encrypted grayscale images
Compression of encrypted data can be achieved by employing Slepian-Wolf coding (SWC). However, how to efficiently exploit the source dependency in an encrypted colored signal such...
Wei Liu, Wenjun Zeng, Lina Dong, Qiuming Yao
ICASSP
2011
IEEE
12 years 8 months ago
Multi image super resolution using compressed sensing
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
Torsten Edeler, Kevin Ohliger, Stephan Hussmann, A...
ICASSP
2011
IEEE
12 years 8 months ago
Optimal structure of memory models for lossless compression of binary image contours
In this paper we study various chain codes, which are representations of binary image contours, in terms of their ability to compress in the best way the contour information using...
Ioan Tabus, Septimia Sarbu
ICASSP
2009
IEEE
13 years 11 months ago
Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging
3D MRI of the upper airway has provided valuable insights into vocal tract shaping and data for the modeling of speech production. Small movements of articulators can lead to larg...
Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. ...