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 |
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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: | 05 Nov 2024 10:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/24051 (The current URI for this page, for reference purposes) |
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