Noise reduction techniques for Bayer-matrix images

Ossi Kalevo; Henry Rantanen

doi:10.1117/12.463440

24 April 2002 Noise reduction techniques for Bayer-matrix images

Ossi Kalevo, Henry Rantanen

Proceedings Volume 4669, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III; (2002) https://doi.org/10.1117/12.463440
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

Ossi Kalevo and Henry Rantanen "Noise reduction techniques for Bayer-matrix images", Proc. SPIE 4669, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III, (24 April 2002); https://doi.org/10.1117/12.463440

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