Adaptive pixel defect correction

Anthony A. Tanbakuchi; Arjen van der Sijde; Bart Dillen; Albert J. P. Theuwissen; Wim de Haan

doi:10.1117/12.499223

16 May 2003 Adaptive pixel defect correction

Anthony A. Tanbakuchi, Arjen van der Sijde, Bart Dillen, Albert J. P. Theuwissen, Wim de Haan

Proceedings Volume 5017, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV; (2003) https://doi.org/10.1117/12.499223
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Anthony A. Tanbakuchi, Arjen van der Sijde, Bart Dillen, Albert J. P. Theuwissen, and Wim de Haan "Adaptive pixel defect correction", Proc. SPIE 5017, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV, (16 May 2003); https://doi.org/10.1117/12.499223

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available