Back to articles
Volume: 29 | Article ID: art00008
Robust Defect Pixel Detection and Correction for Bayer Imaging Systems
  DOI :  10.2352/ISSN.2470-1173.2017.15.DPMI-088  Published OnlineJanuary 2017

Defective pixels degrade the quality of the images produced by digital imagers. If those pixels are not corrected early in the image processing pipeline, demosaicing and filtering operations will cause them to spread and appear as colored clusters that are detrimental to image quality. This paper presents a robust defect pixel detection and correction solution for Bayer imaging systems. The detection mechanism is designed to robustly identify singlets and couplets of hot pixel, cold pixels or mixture of both types, and results in high defect detection rates. The correction mechanism is designed to be detail-preserving and robust to false positives, and results in high image quality. Both mechanisms are computationally cheap and easy to tune. Experimental results demonstrate the aforementioned merits as well as the solution outperformance of conventional correction methods.

Subject Areas :
Views 93
Downloads 39
 articleview.views 93
 articleview.downloads 39
  Cite this article 

Noha El-Yamany, "Robust Defect Pixel Detection and Correction for Bayer Imaging Systemsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Digital Photography and Mobile Imaging XIII,  2017,  pp 46 - 51,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
Electronic Imaging
Society for Imaging Science and Technology