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» Learning Iterative Image Reconstruction
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115
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IPMI
2007
Springer
16 years 1 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
CVPR
2010
IEEE
15 years 5 months ago
Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...
99
Voted
TIP
1998
125views more  TIP 1998»
15 years 23 days ago
Additive vector decoding of transform coded images
—In a standard transform coding scheme of images or video, the decoder can be implemented by a table-lookup technique without the explicit use of an inverse transformation. In th...
Siu-Wai Wu, Allen Gersho
ICMCS
2007
IEEE
319views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Bilateral Back-Projection for Single Image Super Resolution
In this paper, a novel algorithm for single image super resolution is proposed. Back-projection [1] can minimize the reconstruction error with an efficient iterative procedure. A...
Shengyang Dai, Mei Han, Ying Wu, Yihong Gong
130
Voted
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 4 months ago
Gigapixel Binary Sensing: Image Acquisition Using Oversampled One-Bit Poisson Statistics
We study a new gigapixel image sensor that is reminiscent of traditional photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measur...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...