The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Nonlinear Filters for Image Processing
Nonlinear Filters for Image Processing
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
A Variational Approach to Remove Outliers and Impulse Noise
Journal of Mathematical Imaging and Vision
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
Fitness landscape analysis and image filter evolution using functional-level CGP
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Image deblurring in the presence of salt-and-pepper noise
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
A method for design of impulse bursts noise filters optimized for FPGA implementations
Proceedings of the Conference on Design, Automation and Test in Europe
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An evolutionary algorithm is utilized to find a set of image filters which can be employed in a bank of image filters. This filter bank exhibits at least comparable visual quality of filtering in comparison with a sophisticated adaptive median filter when applied to remove the salt-and-pepper noise of high intensity (up to 70% corrupted pixels). The main advantage of this approach is that it requires four times less resources on a chip when compared to the adaptive median filter. The solution also exhibits a very good behavior for the impulse bursts noise which is typical for satellite images.