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» Learning Iterative Image Reconstruction
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IPMI
2007
Springer
15 years 10 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 2 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...
TIP
1998
125views more  TIP 1998»
14 years 9 months 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 4 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
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 1 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...