Performance Analysis of Algorithms over FPGA for Removing Salt and Pepper Noise
| Autor: | Tales Cleber Pimenta, Egidio Ieno Junior, Alejandro Jose Cabrera, Luis Manuel Garces |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
General Computer Science
business.industry Computer science 020208 electrical & electronic engineering Response time Salt-and-pepper noise 02 engineering and technology Noise Software 0202 electrical engineering electronic engineering information engineering Electronic engineering Median filter 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Field-programmable gate array MATLAB computer Computer hardware Linear filter computer.programming_language |
| Zdroj: | IEEE Latin America Transactions. 14:2120-2127 |
| ISSN: | 1548-0992 |
| DOI: | 10.1109/tla.2016.7530404 |
| Popis: | This paper shows the possibility to improve the accuracy of medical diagnosis on contaminated radiographic image with salt and pepper noise using FPGA-based filters. Investigation is carried out using filters described widely in the literature, such as Blur, Smooth and Gaussian linear filters and nonlinear median filter implemented on FPGA in an attempt to eliminate the noise. Implementations are checked on a development board with Spartan 6slx100fgg484-3 FPGA and a low-power optimized version Spartan 6slx100lfgg484-1l. The results are verified through the filtered images, resources consumption and the lowest response time. The implementation methodology uses model-based engineering involving MATLAB/Simulink and System Generator software using the XSGlmgLib library to perform co-simulation. The results show that the FPGA implementation of the median filter has a good tradeoff between resource consumption and noise removal efficiency. |
| Databáze: | OpenAIRE |
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