28 search results - page 3 / 6 » Image Denoising with Nonparametric Hidden Markov Trees |
SSPR
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...
ICIP
2002
IEEE
14 years 7 months ago
2002
IEEE
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
MICCAI
2003
Springer
14 years 6 months ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
CVPR
2009
IEEE
15 years 26 days ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...