Dynamic image filter selection using partially reconfigurable FPGAs for imaging operations
CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing
Evolving novel image features using genetic programming-based image transforms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Genetic programming on GPUs for image processing
International Journal of High Performance Systems Architecture
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In this paper, a new image processing architecture through complete evolvable hardware has been described that will be able to adapt according to the particular images encountered. This will serve as an alternative to conventional approaches where the structure is irreversibly fixed in the design process. The simulation of such a system through the use of evolutionary algorithm is demonstrated for the conventional image processing operation of image filtering. Bitmap Images of size 128x128, contaminated by Gaussian noise with mean 0 and different level of variance were taken and filtering operation is performed. This evolvable digital image filter was compared with conventional image filters in terms of Mean Difference Per Pixel. The result shows that the evolvable hardware digital image filter outperforms traditional approaches.