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» Adaptive image restoration using a local neural approach
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ICDAR
2003
IEEE
13 years 11 months ago
A Multiscale Approach to Restoring Scanned Color Document Images with Show-Through Effects
This paper describes a new approach to restoring scanned color document images where the backside image shows through the paper sheet. A new framework is presented for correcting ...
Hirobumi Nishida, Takeshi Suzuki
IJCV
2008
167views more  IJCV 2008»
13 years 5 months ago
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
Abstract. A novel adaptive and exemplar-based approach is proposed for image restoration (denoising) and representation. The method is based on a pointwise selection of similar ima...
Charles Kervrann, Jérôme Boulanger
ICIP
2005
IEEE
14 years 7 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
ICVGIP
2008
13 years 7 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
HVEI
2010
13 years 3 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...