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A Hybrid Genetic Fuzzy System for Color Filter Array Interpolation [articol]

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dc.contributor.author Sree Devi, Easwara Pillai
dc.contributor.author Anandh, Oliver Sugel
dc.date.accessioned 2024-10-03T12:18:10Z
dc.date.available 2024-10-03T12:18:10Z
dc.date.issued 2019
dc.identifier.citation Easwara Pillai, Sree Devi; Anandh, Oliver Sugel: A Hybrid Genetic Fuzzy System for Color Filter Array Interpolation. Timişoara: Editura Politehnica, 2019. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6716
dc.description.abstract As digital cameras become more powerful and smaller, Charge-Coupled Device sensors still associate only one color of a pixel. This color mosaic called Bayer Pattern must be processed to get a high resolution color image. Each interpolated image pixel has a full color spectrum based on surrounding pixel colors. This study proposes a new adaptive Color Filter Array interpolation model. For normal image regions hue technique is used while edge regions use the new technique. It is proposed to apply fuzzy logic and fuzzy rule selection is based on Genetic Algorithm using random local search to enhance the Peak Signal to Noise Ratio. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 19 No 5
dc.subject Charge coupled Devices en_US
dc.subject Fuzzy logic en_US
dc.subject Genetic algorithm en_US
dc.subject Interpolation en_US
dc.subject PSNR en_US
dc.title A Hybrid Genetic Fuzzy System for Color Filter Array Interpolation [articol] en_US
dc.type Article en_US


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