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» A Statistical Learning Approach To Document Image Analysis
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ICIAR
2009
Springer
15 years 6 months ago
The Use of Residuals in Image Denoising
Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow ...
Dominique Brunet, Edward R. Vrscay, Zhou Wang
ICDAR
2009
IEEE
15 years 6 months ago
Locally Developable Constraint for Document Surface Reconstruction
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restric...
Yuanlong Shao, Xinguo Liu, Xueying Qin, Yi Xu, Huj...
ICDAR
2003
IEEE
15 years 5 months ago
A class-modular GLVQ ensemble with outlier learning for handwritten digit recognition
A class-modular generalized learning vector quantization (GLVQ) ensemble method with outlier learning for handwritten digit recognition is proposed. A GLVQ classifier is one of d...
Katsuhiko Takahashi, Daisuke Nishiwaki
ICIP
2005
IEEE
16 years 1 months ago
Face hallucination through dual associative learning
In this paper, we propose a novel patch-based face hallucination framework, which employs a dual model to hallucinate different components associated with one facial image. Our mod...
Wei Liu, Dahua Lin, Xiaoou Tang
PRL
2006
115views more  PRL 2006»
14 years 11 months ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi