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» An Adaptive De-Blocking Algorithm Based on MRF
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ICTAI
2005
IEEE
14 years 4 months ago
An Adaptive De-Blocking Algorithm Based on MRF
One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Mar...
Shengli Xie, Zhiliang Xu
TIP
2010
162views more  TIP 2010»
13 years 5 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
CVPR
2009
IEEE
15 years 6 months ago
Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs
In this paper, we introduce a higher-order MRF optimization framework. On the one hand, it is very general; we thus use it to derive a generic optimizer that can be applied to a...
Nikos Komodakis (University of Crete), Nikos Parag...
PAMI
2010
207views more  PAMI 2010»
13 years 5 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
ICIP
2001
IEEE
15 years 22 days ago
Robust fast extraction of video objects combining frame differences and adaptive reference image
This paper introduces a video object segmentation algorithm developed in the context of the European project Art.live1 where constraints on the quality of segmentation and the pro...
Alice Caplier, Laurent Bonnaud, Jean-Marc Chassery