Digital Filter Design Using Evolvable Hardware Chip for Image Enhancement
Images acquired through modern cameras may be contaminated by a variety of noise sources (e.g. photon or on chip electronic noise) and also by distortions such as shading or improper illumination. Therefore a preprocessing unit has to be incorporated before recognition to improve image quality. General-purpose image filters lacks the flexibility and adaptability for un-modeled noise types. The EHW architecture evolves filters without any apriori information. The approach chosen here is based on functional level evolution The proposed filter considers spatial domain approach and uses the overlapping window to remove the noise in the image.
KeywordsProcessing Element Field Programmable Gate Array Image Enhancement Adaptive Neuro Fuzzy Inference System Evolvable Hardware
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- 4.Samhouri, P., et al.: Surface Roughness in Grinding: Off-line Identification with an Adaptive Neuro Fuzzy Inference system. Paper submitted to NAMRAC 33-2005 conference, Columbia, May 24-27 (2005)Google Scholar
- 5.Higuchi, T., Murakawa, M., Iwata, M., Kajitani, I., Liu, W., Salami, M.: Evolvable Hardware at Function Level. In: Proc. of the IEEE International Conference on Evolutionary Computation, April 1997, pp. 187–192 (1997)Google Scholar
- 8.Hollingworth, G., Smith, S., Tyrrell, A.: Design of Highly Parallel Edge Detection Nodes using Evolutionary Techniques. In: Proc. of the 7th Euromicro Workshop on Parallel and Distributed Processing. IEEE, Los Alamitos (1999)Google Scholar