Paper
28 January 2008 Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique
Siddhartha Ghosh, Ian Marshall, Alex Freitas
Author Affiliations +
Proceedings Volume 6808, Image Quality and System Performance V; 680813 (2008) https://doi.org/10.1117/12.765147
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
We propose a statistical technique for autonomously detecting defective pixels in a CCD sensor array. Our data-driven analysis technique can autonomously identify a wide range of faulty and 'suspect' pixels (hypo-sensitive or hyper-sensitive pixels), without the need for any defect model or prior knowledge of the nature of pixel faults. We apply our technique to the autonomous detection of the defective pixels in regular images captured with a camera, equipped with a CCD.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siddhartha Ghosh, Ian Marshall, and Alex Freitas "Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique", Proc. SPIE 6808, Image Quality and System Performance V, 680813 (28 January 2008); https://doi.org/10.1117/12.765147
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Expectation maximization algorithms

Cameras

Defect detection

CCD cameras

Imaging arrays

Sensors

Data modeling

RELATED CONTENT


Back to Top