Paper: Noise Reduction in CMOS Image Sensors for High Quality Imaging: The Autocorrelation Function Filter on Burst Image Sequences

Noise Reduction in CMOS Image Sensors for High Quality Imaging: The Autocorrelation Function Filter on Burst Image Sequences

Kazuhiro Hoshino, Frank Nielsen and Toshihiro Nishimura

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Noise reduction:

Abstract:
We propose a new method for image noise detection and reduction in complementary metal oxide semiconductor (CMOS) image sensors inspired from audio noise cancelling techniques. Our algorithm is based on computing efficiently the time-dependent pixel autocorrelation function (ACF) from constant time interval acquired sequences of images. We demonstrate the effectiveness of our approach for successfully detecting and reducing white noise. Further, we consider an adaptive filter that exhibits significant computational improvements making it highly practical. Finally, we report on experiments displaying the high-quality imaging systems obtained in practice.

GVIP

Bibtex entry:

@ARTICLE{noisereduction-2007, 
AUTHOR = {Kazuhiro Hoshino and Frank Nielsen and Toshihiro Nishimura},
TITLE = {Noise Reduction in CMOS Image Sensors for High Quality Imaging The Autocorrelation Function Filter on Burst Image Sequences}, 
JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP}, 
YEAR = {2007}, 
VOLUME = {07},
ISSUE ={3},
PAGES={17--24}
}

Last updated, 2007.