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RESEARCH PRODUCT
Noise assisted image processing by ensembles of R-SETs
Javier CerveraSalvador MafeJosé A. Manzanaressubject
Computer Networks and CommunicationsComputer scienceStochastic resonancebusiness.industryImage processing02 engineering and technologyWhite noise021001 nanoscience & nanotechnologyMachine learningcomputer.software_genre03 medical and health sciencesNoise0302 clinical medicineRedundancy (information theory)Dark-frame subtractionImage noiseMedian filterArtificial intelligence0210 nano-technologybusinesscomputerAlgorithm030217 neurology & neurosurgerySoftwaredescription
AbstractWe study how noise can assist the processing of an image in a resistance-single electron transistor (R-SET) model. The image is an 8-bit black and white picture. Every grey level is codified linearly into a sub-threshold input potential applied for a prescribed time window to an ensemble of R-SETs that transforms it into a spiking frequency. The addition of a background white noise potential of high amplitude permits the ensemble to process the image by means of the stochastic resonance phenomenon. Aside from the positive aspects, we analyse the negative impact of using noise and how we can minimize it using redundancy and a longer measuring time. The results are compared with the case of the addition of a constant potential to the codified potential to scale it up to the supra-threshold regime.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-04-26 | International Journal of Parallel, Emergent and Distributed Systems |