Spatially Adaptive Image Deblurring Algorithm Based on Abdou Operator

2007 ◽  
Author(s):  
Jianhang Huang ◽  
Jianzhong Zhang
Keyword(s):  
Image Deblurring ◽  
Spatially Adaptive

scholarly journals A spatially adaptive nonparametric regression image deblurring

2005 ◽  
Vol 14 (10) ◽  
pp. 1469-1478 ◽  
Author(s):  
V. Katkovnik ◽  
K. Egiazarian ◽  
J. Astola
Keyword(s):  
Nonparametric Regression ◽  
Image Deblurring ◽  
Spatially Adaptive

scholarly journals A spatially adaptive Poissonian image deblurring

2005 ◽  
Author(s):  
A. Foi ◽  
S. Alenius ◽  
M. Trimeche ◽  
V. Katkovnik ◽  
K. Egiazarian
Keyword(s):  
Image Deblurring ◽  
Spatially Adaptive

Automated 3-D cell population analysis in thick tissue sections using laser-scanning confocal-microscopy data

1993 ◽  
Vol 51 ◽  
pp. 562-563
Author(s):  
Hakan Ancin
Keyword(s):  
Laser Scanning ◽  
Population Analysis ◽  
Three Dimensional ◽  
Large Data ◽  
Laser Scanning Confocal Microscopy ◽  
Tissue Slices ◽  
Scanning Confocal Microscopy ◽  
Tissue Sections ◽  
Spatially Adaptive ◽  
Microscopy Data

This paper presents methods for performing detailed quantitative automated three dimensional (3-D) analysis of cell populations in thick tissue sections while preserving the relative 3-D locations of cells. Specifically, the method disambiguates overlapping clusters of cells, and accurately measures the volume, 3-D location, and shape parameters for each cell. Finally, the entire population of cells is analyzed to detect patterns and groupings with respect to various combinations of cell properties. All of the above is accomplished with zero subjective bias.In this method, a laser-scanning confocal light microscope (LSCM) is used to collect optical sections through the entire thickness (100 - 500μm) of fluorescently-labelled tissue slices. The acquired stack of optical slices is first subjected to axial deblurring using the expectation maximization (EM) algorithm. The resulting isotropic 3-D image is segmented using a spatially-adaptive Poisson based image segmentation algorithm with region-dependent smoothing parameters. Extracting the voxels that were labelled as "foreground" into an active voxel data structure results in a large data reduction.

Sparsity and Smoothing Multi-Regularization Constraints for Blind Image Deblurring

2013 ◽  
Vol 24 (5) ◽  
pp. 1143-1154 ◽  
Author(s):  
Shu TANG ◽  
Wei-Guo GONG ◽  
Jian-Hua ZHONG
Keyword(s):  
Image Deblurring ◽  
Blind Image Deblurring ◽  
Blind Image
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