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  4. Combined demosaicing and adaptive filtering on CFA images
 
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Combined demosaicing and adaptive filtering on CFA images

Publikationstyp
Conference Paper
Date Issued
2006-12-01
Sprache
English
Author(s)
Tajbakhsh, Touraj  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10076
Start Page
92
End Page
97
Article Number
1689422
Citation
Proceedings of the International Symposium on Consumer Electronics, ISCE: 1689422, 92-97 (2006-12-01)
Contribution to Conference
10th International Symposium on Consumer Electronics, (ISCE 2006)  
Scopus ID
2-s2.0-34547275132
Publisher
IEEE
The gate-count of Image Signal Processing (ISP) units in digital cameras is significantly dominated by the amount of line buffers utilized by the CFA (Color Filter Array) image interpolation algorithm. Subsequent image filtering on RGB data requires further line buffers for each color channel. We present a local-adaptive Wiener filter for noise cancellation and image enhancement with incorporation of Chang's Variable Number of Gradients interpolation method deploying a 5x5 neighborhood for each pixel. Four line buffers in total are utilized for demosaicing and filtering. Our experimental results indicate a significant increase in SNR whereas edges are preserved and image contrast is enhanced l.
Subjects
Altering
Combined demosaicing
Denoise
Image enhancement
Noise reduction
Sharpening
DDC Class
600: Technik
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