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» Non-Local Kernel Regression for Image and Video Restoration
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ECCV
2010
Springer
14 years 5 days ago
Non-Local Kernel Regression for Image and Video Restoration
This paper presents a non-local kernel regression (NL-KR) method for image and video restoration tasks, which exploits both the non-local self-similarity and local structural regul...
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
13 years 8 months ago
A generalization of non-local means via kernel regression
The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...
Priyam Chatterjee, Peyman Milanfar
ICIP
2006
IEEE
14 years 8 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
ICIP
2008
IEEE
14 years 1 months ago
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression
In this paper, we extend a (2-D) data-adaptive steering kernel regression framework for image processing to a (3-D) spatio-temporal framework for processing video. In particular, ...
Hiroyuki Takeda, Peter van Beek, Peyman Milanfar
ICCV
2007
IEEE
14 years 9 months ago
Blurred/Non-Blurred Image Alignment using Sparseness Prior
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics applications. The traditional alignment methods such as direct...
Lu Yuan, Jian Sun, Long Quan, Heung-Yeung Shum