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TSP
2010
13 years 3 months ago
Joint detection and estimation of multiple objects from image observations
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...
TIP
2011
106views more  TIP 2011»
13 years 3 months ago
Practical Bounds on Image Denoising: From Estimation to Information
—Recently, in a previous work, we proposed a way to bound how well any given image can be denoised. The bound was computed directly from the noise-free image that was assumed to ...
Priyam Chatterjee, Peyman Milanfar
SCALESPACE
2007
Springer
14 years 2 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...
ECCV
2010
Springer
14 years 1 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
ICIP
2010
IEEE
13 years 6 months ago
Single image deblurring with adaptive dictionary learning
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang