Abstract
This paper deals with neural based image processing and developed solutions using the ZISC-036 neuro-processor, an IBM hardware processor which implements the Restricted Coulomb Energy algorithm (RCE) and the KNearest Neighbor algorithm (KNN). The developed neural based techniques have been applied for image enhancement in order to restore old movies (noise reduction, focus correction, etc.), to improve digital television images, or to treat images which require adaptive processing. Experimental results, validating the exposed concepts, have been reported showing quantitative and qualitative improvement as well as the efficiency of our solutions.
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Madani, K., de Trémiolles, G., Tannhof, P. (2001). ZISC-036 Neuro-processor Based Image Processing. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_24
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DOI: https://doi.org/10.1007/3-540-45723-2_24
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