477 search results - page 68 / 96 » Modeling Image Textures by Gibbs Random Fields |
145
Voted
CIVR
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
142
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DAGM
2011
Springer
14 years 11 days ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
127
Voted
KDD
2002
ACM
16 years 1 months ago
2002
ACM
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
100
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ICIP
1994
IEEE
16 years 2 months ago
1994
IEEE
ABSTRACT the pyramid. Recently, a number of promising quanMultiresolution imagedecompositions (e. g., wavelets), in conjunction with a variety of quantization schemes, have been sh...
105
Voted
ICIP
1995
IEEE
16 years 2 months ago
1995
IEEE
In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution ...