Share Email Print

Proceedings Paper

Adaptive pixel defect correction
Author(s): Anthony A. Tanbakuchi; Arjen van der Sijde; Bart Dillen; Albert J. P. Theuwissen; Wim de Haan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Although the number of pixels in image sensors is increasing exponentially, production techniques have only been able to linearly reduce the probability that a pixel will be defective. The result is a rapidly increasing probability that a sensor will contain one or more defective pixels. Sensors with defects are often discarded after fabrication because they may not produce aesthetically pleasing images. To reduce the cost of image sensor production, defect correction algorithms are needed that allow the utilization of sensors with bad pixels. We present a relatively simple defect correction algorithm, requiring only a small 7 by 7 kernel of raw color filter array data that effectively corrects a wide variety of defect types. Our adaptive edge algorithm is high quality, uses few image lines, is adaptable to a variety of defect types, and independent of other on-board DSP algorithms. Results show that the algorithm produces substantially better results in high-frequency image regions compared to conventional one-dimensional correction methods.

Paper Details

Date Published: 16 May 2003
PDF: 11 pages
Proc. SPIE 5017, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV, (16 May 2003); doi: 10.1117/12.499223
Show Author Affiliations
Anthony A. Tanbakuchi, DALSA Professional Imaging (Netherlands)
Rochester Institute of Technology (United States)
Arjen van der Sijde, Philips Semiconductors Image Sensors (Netherlands)
Bart Dillen, Rochester Institute of Technology (United States)
Albert J. P. Theuwissen, Rochester Institute of Technology (United States)
Technische Univ. Delft (Netherlands)
Wim de Haan, Philips Components (Netherlands)

Published in SPIE Proceedings Vol. 5017:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV
Nitin Sampat; Morley M. Blouke; Nitin Sampat; Ricardo J. Motta; Ricardo J. Motta, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?