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 Systems Performance V – Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 6808, JAN 28-30, 2008, San Jose, CA. (The full text of this publication is not available from this repository)

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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: Conference or workshop item (Paper)
Uncontrolled keywords: classification, clustering, image processing
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:12
Last Modified: 20 May 2014 09:11
Resource URI: http://kar.kent.ac.uk/id/eprint/24051 (The current URI for this page, for reference purposes)
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