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» A Novel Framework for Imaging Using Compressed Sensing
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JMLR
2008
209views more  JMLR 2008»
13 years 8 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICASSP
2011
IEEE
13 years 15 days ago
Dense disparity estimation from linear measurements
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
Vijayaraghavan Thirumalai, Pascal Frossard
ICIP
2008
IEEE
14 years 10 months ago
A near optimal coder for image geometry with adaptive partitioning
In this paper, we present a new framework to compress the geometry of images. This framework generalizes the standard quad partitioning approaches in compression of image geometry ...
Arian Maleki, Morteza Shahram, Gunnar Carlsson
ICIP
2010
IEEE
13 years 6 months ago
Characterization of signal perturbation using voting based curve fitting for multispectral images
Signal degradation impacts the final quality of images acquired using remote sensing radiometer. The effectiveness of a restoration algorithm strongly depends on two main factors:...
Sebastiano Battiato, Giovanni Puglisi, Rosetta Riz...
ICIP
2008
IEEE
14 years 3 months ago
Edge-based directional fuzzy filter for compression artifact reduction in JPEG images
We propose a novel method to reduce both blocking and ringing artifacts in compressed images and videos. Based on the directional characteristics of ringing artifacts along edges,...
Dung Trung Vo, Truong Q. Nguyen, Sehoon Yea, Antho...