Robust autonomous detection of the defective pixels in detectors using a probabilistic technique

Ghosh, Siddhartha and Froebrich, Dirk and Freitas, Alex A. (2008) Robust autonomous detection of the defective pixels in detectors using a probabilistic technique. Applied Optics, 47 (36). pp. 6904-6924. ISSN 0003-6935. (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)

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Detection of defective pixels in solid-state detectors/sensor arrays has received limited research attention. Few approaches currently exist lior detecting the defective pixels using real images captured with cameras equipped with such detectors, and they are ad hoe and limited in their applicability In this paper, we present a probabilistic novel integrated technique for autonomously detecting the defective pixels in image sensor arrays. It can be applied to images containing rich scene information, captured with any digital camera equipped with a solid-state detector, to detect diffierent kinds of defective pixels in the detector. We apply our technique to the detection of various defective pixels in an experimental camera equipped with a charge coupled device (CCD) array and two out of the four HgCdTe detectors of the UKIRT's wide field camera (WFCAM) used for infrared (IR) astronomy [Astron. Astrophys. 467, 777-784 (2007)].

Item Type: Article
Uncontrolled keywords: data mining, 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: 19 May 2014 15:44
Resource URI: (The current URI for this page, for reference purposes)
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