Communications of the ACM
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
Image Filter Design with Evolvable Hardware
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Evolvable Components: From Theory to Hardware Implementations
Evolvable Components: From Theory to Hardware Implementations
Removing impulse bursts from images by training-based filtering
EURASIP Journal on Applied Signal Processing
An evolvable hardware system in Xilinx Virtex II Pro FPGA
International Journal of Innovative Computing and Applications
Novel Hardware Implementation of Adaptive Median Filters
DDECS '08 Proceedings of the 2008 11th IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems
Evolution of Impulse Bursts Noise Filters
AHS '09 Proceedings of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems
Reducing the area on a chip using a bank of evolved filters
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
An evolvable image filter: experimental evaluation of a complete hardware implementation in FPGA
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
On the Evolution of Hardware Circuits via Reconfigurable Architectures
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Towards new applications of multi-function logic: image multi-filtering
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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This paper deals with the evolutionary design of area-efficient filters for impulse bursts noise which is often present in remote sensing images such as satellite images. Evolved filters require much smaller area in the FPGA than conventional filters. Simultaneously, they exhibit at least comparable filtering capabilities with respect to conventional filters. Low-cost embedded systems equipped with low-end FPGAs represent a target application for presented filters.