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» Supervised Image Segmentation Using Markov Random Fields
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ICPR
2008
IEEE
15 years 4 months ago
Face super-resolution using 8-connected Markov Random Fields with embedded prior
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, ...
83
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Spatial and Spectral Based Segmentation of Text in Multispectral Images of Ancient Documents
In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to comb...
Martin Lettner, Robert Sablatnig
ICIP
2007
IEEE
15 years 11 months ago
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields
Recently, a new exemplar-based method for image completion, texture synthesis and image inpainting was proposed which uses a discrete global optimization strategy based on Markov ...
Huy Tho Ho, Roland Göcke
IJCV
2008
266views more  IJCV 2008»
14 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
80
Voted
ICIP
2007
IEEE
15 years 11 months ago
Markov Random Field Model-Based Edge-Directed Image Interpolation
Abstract-- This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based appr...
Min Li, Truong Q. Nguyen