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Proceedings Paper

Noise reduction techniques for Bayer-matrix images
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Paper Abstract

In this paper, some arrangements to apply Noise Reduction (NR) techniques for images captured by a single sensor digital camera are studied. Usually, the NR filter processes full three-color component image data. This requires that raw Bayer-matrix image data, available from the image sensor, is first interpolated by using Color Filter Array Interpolation (CFAI) method. Another choice is that the raw Bayer-matrix image data is processed directly. The advantages and disadvantages of both processing orders, before (pre-) CFAI and after (post-) CFAI, are studied with linear, multi-stage median, multistage median hybrid and median-rational filters .The comparison is based on the quality of the output image, the processing power requirements and the amount of memory needed. Also the solution, which improves preservation of details in the NR filtering before the CFAI, is proposed.

Paper Details

Date Published: 24 April 2002
PDF: 12 pages
Proc. SPIE 4669, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III, (24 April 2002); doi: 10.1117/12.463440
Show Author Affiliations
Ossi Kalevo, Nokia Research Ctr. (Finland)
Henry Rantanen, Nokia Research Ctr. (Finland)


Published in SPIE Proceedings Vol. 4669:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III
Nitin Sampat; John Canosa; Morley M. Blouke; John Canosa; Nitin Sampat, Editor(s)

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