FPGA Based Image Processing Algorithms (Digital Image Enhancement Techniques) Using Xilinx System Generator

2016 ◽  
Author(s):  
Mohammed Abdulhalim Alareqi
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Digital Image ◽  
System Generator ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Xilinx System Generator ◽  
Digital Image Enhancement

scholarly journals Realization of Image Processing Algorithm based on FPGA

2019 ◽  
Vol 8 (3) ◽  
pp. 2882-2885
Keyword(s):  
Image Processing ◽  
Processing Algorithm ◽  
Model Design ◽  
Image Processing Algorithm ◽  
Matlab Simulink ◽  
System Generator ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Xilinx System Generator

This paper proposes the use of Xilinx System Generator for image processing. Several categories of algorithms are assisted by necessary libraries in Xilinx System Generator. This work integrates Matlab Simulink environment. The image processing algorithms are implemented by design approaches based on model design. The results are verified by hardware co-simulation. The system generator blocks are used for various algorithms of image processing for image negatives, RGB to grayscale, dilation, etc

A μc-Si:H P-I-N Imager For 2-D Pattern Recognition

1999 ◽  
Vol 558 ◽  
Author(s):  
J. Martins ◽  
M. Fernandes ◽  
F. Sousa ◽  
P. Louro ◽  
A. MaçArico ◽  
...  
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Image Enhancement ◽  
Image Representation ◽  
Rectangular Grid ◽  
Sensing Element ◽  
Coplanar Electrodes ◽  
Basic Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms

ABSTRACTA TCO/ μc-p-i-n Si:H/AI imager is presented and analyzed. The μc-p-i-n Si:H photodiode acts as a sensing element. Contacts are used as an electrical interface. The image is acquired by a scan-out process. Sampling is performed on a rectangular grid, and the read-out of the photogenerated charges is achieved by measuring simultaneously both transverse photovoltages at the coplanar electrodes. The image representation in gray-tones is obtained by using low level processing algorithms. Basic image processing algorithms are developed for image enhancement and restoration.

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