Noise Variance Estimation Using Image Noise Cross‐Correlation Model on SEM Images. Issue 3 (7th September 2012)

• Record Type: Journal Article
• Authors: Sim, K. S.; Nia, M. E.; Tso, C. P.
• Is Part Of: Scanning. Volume 35:Issue 3(2013:May/Jun.)
• Page Start: 205
• Page End: 212
• Publication Date: 2012-09-07
• Subjects: Scanning electron microscopy -- Periodicals; 502.825
• DOI: 10.1002/sca.21055
• Languages: English
• ISSNs: 0161-0457

Abstract

<abstract abstract-type="main"> <title>Summary</title> <p>A number of techniques have been proposed during the last three decades for noise variance and signal‐to‐noise ratio (SNR) estimation in digital images. While some methods have shown reliability and accuracy in SNR and noise variance estimations, other methods are dependent on the nature of the images and perform well on a limited number of image types. In this article, we prove the accuracy and the efficiency of the image noise cross‐correlation estimation model, vs. other existing estimators, when applied to different types of scanning electron microscope images. SCANNING 35: 205‐212, 2013. © 2012 Wiley Periodicals, Inc.</p> </abstract>