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» Image Processing: Principles and Applications
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ICIP
1999
IEEE
15 years 2 months ago
Forward Adaptive Modeling for Context-Based Compression of Large Binary Images in Applications Requiring Spatial Access
A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forwa...
Eugene I. Ageenko, Pasi Fränti
ICASSP
2011
IEEE
14 years 1 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
ICIP
2006
IEEE
15 years 11 months ago
Universal Denoising of Continuous Amplitude Signals with Applications to Images
We consider the problem of image denoising wherein the statistical characterization of the noise corruption mechanism is known. We make no assumptions on the nature or statistics ...
Kamakshi Sivaramakrishnan, Tsachy Weissman
ICASSP
2010
IEEE
14 years 10 months ago
Buffer management for multi-application image processing on multi-core platforms: Analysis and case study
Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient managem...
Dong-Ik Ko, Nara Won, Shuvra S. Bhattacharyya
IJCV
2011
152views more  IJCV 2011»
14 years 4 months ago
Recovering Occlusion Boundaries from an Image
Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing str...
Derek Hoiem, Alexei A. Efros, Martial Hebert