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VEGA Image Processing Technologies

VEGA Image Processing software with full support for 16-bit RGB image processing. It is one of the best tools for noise reduction, image restoration, edge detection, image sharpening, extraction of image details, super-resolution. The presented algorithm can be applied in : satellite imaging, medical imaging, graphic arts, etc.

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VEGA Image Processing Technologies | img-service.com Reviews
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VEGA Image Processing software with full support for 16-bit RGB image processing. It is one of the best tools for noise reduction, image restoration, edge detection, image sharpening, extraction of image details, super-resolution. The presented algorithm can be applied in : satellite imaging, medical imaging, graphic arts, etc.
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1 image processing
2 filtering
3 unblur
4 noise
5 satelite
6 medical
7 Forensics
8 security
9 16bit RGB
10
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vega universal,image processing system,noise reduction,edge detection,image sharpening,super resolution,satellite imaging,medical imaging,and constantine butakoff,dr olga milukova,ludvig eder,dmitriy paliy,site map,last updated
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VEGA Image Processing Technologies | img-service.com Reviews

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VEGA Image Processing software with full support for 16-bit RGB image processing. It is one of the best tools for noise reduction, image restoration, edge detection, image sharpening, extraction of image details, super-resolution. The presented algorithm can be applied in : satellite imaging, medical imaging, graphic arts, etc.

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Site Map::VEGA Image Processing Technologies

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Overview of the Original Processing Algorithms. VEGA Image Processing Technologies Algorithms Full list. Image Restoration and Deblurring. Edge detection, Cellular Neural Boolean Filtering. Image Sharpening, Enhancement. Family of Rank-Order Filters. Nonlinear Combined Spatial-Frequency Domain Two-Stage Filtering. Impulsive Noise and Scratch Removal. Frequency Domain Nonlinear Median-Like Filter for Periodic and Quasi-Periodic Noise Removal. DMYTRO V. PALIY. Mon, November 01, 2009 13:18.

2

DMYTRO V. PALIY::VEGA Image Processing Technologies

http://www.img-service.com/cv/dmitry_paliy.html

DMYTRO V. PALIY. E-mail: paliy@cs.tut.fi. Signal and image processing. Neural networks. Universal binary and multi-valued neural elements; learning algorithms. Application of the neural networks to image processing and pattern recognition. Digital image processing (SAR, medical and other images). Programming (Delphi, Object Pascal, C/C , Matlab). Statistical processing of medical data. PC maintenance and support (software and hardware). Solid background in Object Oriented Programming and Development.

3

Family of Rank-Order Filters::VEGA Image Processing Technologies

http://www.img-service.com/overview/family_rank-order_filters.html

Family of Rank-Order Filters. Rank-order filters are spatial-domain nonlinear filters, which are based on the correction of the local histogram within the filtering window. There are many filters belonging to this family, as there are also many different implementations of them. We utilize three powerful filters from the rank-order family with the supplement based on a combination of rank-order filtering and multi-valued nonlinear filtering. And Rank-order ER filter. Click on the images to enlarge,.

4

VEGA Image Processing Technologies

http://www.img-service.com/overview/vega_algorithms.html

List of VEGA Algorithms. Note: Original algorithms or modifications to calssical ones, developed by our team, are underlined. Convert Binary Image to Grayscale Image. Convert Binary Image to Spectrum. Convert Grayscale Image to Binary Image. Convert Spectrum to Binary Image. Statistics of Binary Image. Sliding Histogram Intensification and Truncation. Sliding Rank Histogram Truncation. Edge Detection and Segmentation. Detection of Brightness Jumps. Classical Edge Detection Algorithms.

5

Super-Resolution Algorithm::VEGA Image Processing Technologies

http://www.img-service.com/overview/super-resolution_algorithm.html

Super Resolution is an artificial increasing of the actual image resolution. It attempts to reconstruct the original scene that gave rise to the image. The most frequently used ways to solve this problem are different kinds of image interpolation. Bicubic interpolation is probably the most popular one. The interpolation procedures are presented in many image processing software systems. The solution of the super resolution problem is based on the extrapolation of the orthogonal image spectra (Fourier, Co...

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