Fault-tolerant image filter design using particle swarm optimization
| Autor: | Xiaoming Zhao, Fangfang Wang, Takahiro Watanabe, Zhiguo Bao |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Signal delay
business.industry Computer science Noise reduction Real-time computing Particle swarm optimization Fault tolerance Hardware_PERFORMANCEANDRELIABILITY Composite image filter General Biochemistry Genetics and Molecular Biology Power (physics) Artificial Intelligence Filter (video) Multi-swarm optimization business Computer hardware |
| Zdroj: | Artificial Life and Robotics. 16:333-337 |
| ISSN: | 1614-7456 1433-5298 |
| DOI: | 10.1007/s10015-011-0942-8 |
| Popis: | This article describes a mixed constrained image filter design with fault tolerance using particle swarm optimization (PSO) on a reconfigurable processing array. There may be some faulty configurable logic blocks (CLBs) in a reconfigurable processing array. The proposed method with PSO autonomously synthesizes a filter fitted to the reconfigurable device with some faults in order to optimize the complexity and power of the circuit, and the signal delay in both the CLBs and the wires. An image filter for noise reduction is experimentally synthesized to verify the validity of our method. By evolution, the quality of the optimized image filter on a reconfigurable device with a few faults is almost same as that on a device with no faults. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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