Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6716
Title: A Hybrid Genetic Fuzzy System for Color Filter Array Interpolation [articol]
Authors: Sree Devi, Easwara Pillai
Anandh, Oliver Sugel
Subjects: Charge coupled Devices
Fuzzy logic
Genetic algorithm
Interpolation
PSNR
Issue Date: 2019
Publisher: Timișoara : Editura Politehnica
Citation: Easwara Pillai, Sree Devi; Anandh, Oliver Sugel: A Hybrid Genetic Fuzzy System for Color Filter Array Interpolation. Timişoara: Editura Politehnica, 2019.
Series/Report no.: Journal of Electrical Engineering;Vol 19 No 5
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.
URI: https://dspace.upt.ro/xmlui/handle/123456789/6716
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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