Development of Digital Image Processing Algorithms via FPGA Implementation
A real-time image processing is one of the fundamental elements in achieving IR 4.0. The rapid development of digital image processing techniques has enabled various applications in fields such as healthcare, transportation, and manufacturing. People are seeking higher-performance image processing...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Semarak ilmu
2024
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/49448/1/SIJESE_V3_N1_2845b%20%281%29.pdf http://ir.unimas.my/id/eprint/49448/ https://semarakilmu.my/index.php/sijese/article/view/418 https://doi.org/10.37934/sijese.3.1.2845b |
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| Summary: | A real-time image processing is one of the fundamental elements in achieving IR 4.0.
The rapid development of digital image processing techniques has enabled various applications in fields such as healthcare, transportation, and manufacturing. People
are seeking higher-performance image processing as traditional image processing is no longer fulfilling the demands. FPGA-based digital image processing has become one of the choices for the public due to its parallel pipelining, which enables shorter processing time and better performance. Several digital image processing algorithms
have been developed in this project, which are gray level transformation, brightness manipulation, contrast adjustment, thresholding, and inversion. They are the most
popular algorithms used in digital image processing. Microsoft Paint is used to convert the format of the color input image to bitmap format, followed by MATLAB to convert
it into a hexadecimal file to be read and written in FPGA. Platforms such as ModelSim Altera and Intel Quartus II are used to write Verilog HDL for digital image processing
algorithms. As a result, five hexadecimal files are obtained from the simulation. The output hexadecimal files are further processed in MATLAB to generate respective
images. |
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