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» On the Use of Context Tree for Binary Image Compression
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PAMI
2012
11 years 11 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
FUIN
2008
112views more  FUIN 2008»
13 years 8 months ago
A New Probabilistic Approach for Fractal Based Image Compression
Abstract. Approximation of an image by the attractor evolved through iterations of a set of contractive maps is usually known as fractal image compression. The set of maps is calle...
Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, B...
ICIP
2002
IEEE
14 years 1 months ago
An iterative algorithm for context selection in adaptive entropy coders
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Tong Jin, Jacques Vaisey
ICIP
2007
IEEE
14 years 2 months ago
Distributed Compression of Multi-View Images using a Geometrical Coding Approach
In this paper, we propose a distributed compression approach for multi-view images, where each camera efficiently encodes its visual information locally without requiring any col...
Nicolas Gehrig, Pier Luigi Dragotti
ICIP
2003
IEEE
14 years 10 months ago
Image compression with on-line and off-line learning
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...