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Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique

Ghosh, Siddhartha and Marshall, Ian W. and Freitas, Alex A. (2008) Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique. In: Image Quality and System Performance V. Proceedings of SPIE . SPIE, Bellingham, Washington. ISBN 978-0-8194-6980-9. (doi:10.1117/12.765147) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24051)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1117/12.765147

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.

Item Type: Book section
DOI/Identification number: 10.1117/12.765147
Uncontrolled keywords: classification, clustering, image processing
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:12 UTC
Last Modified: 16 Nov 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/24051 (The current URI for this page, for reference purposes)

University of Kent Author Information

Marshall, Ian W..

Creator's ORCID:
CReDIT Contributor Roles:

Freitas, Alex A..

Creator's ORCID: https://orcid.org/0000-0001-9825-4700
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