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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Sumathi, A., & Banu, R. S. D. W. (2006). Digital filter design using evolvable hardware chip for image enhancement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4113 LNCS-I, pp. 663–671). Springer Verlag. https://doi.org/10.1007/11816157_79
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