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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 9 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
ICIP
2006
IEEE
15 years 11 months ago
Improved Multiplexed Image Reconstruction Performance Through Optical System Diversity Design
Multiplexed image reconstruction, estimating high resolution images from multiple low resolution images with highly overlapped fields of view, is improved when the magnification o...
Sally L. Wood, Hsueh-Ban Lan, Dinesh Rajan, Marc P...
ICASSP
2011
IEEE
14 years 1 months ago
Adaptive reconstruction method of missing textures based on perceptually optimized algorithm
This paper presents an adaptive reconstruction method of missing textures based on structural similarity (SSIM) index. The proposed method firstly performs SSIM-based selection o...
Takahiro Ogawa, Miki Haseyama
94
Voted
CVPR
2008
IEEE
15 years 11 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICIP
2006
IEEE
15 years 11 months ago
Variational Local Structure Estimation for Image Super-Resolution
Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, ...
Heng Lian