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Full metadata record
DC Field | Value | Language |
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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 |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
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BUPT_ART_Devi_f.pdf | 490.86 kB | Adobe PDF | View/Open |
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