WSEAS Transactions on Signal Processing


Print ISSN: 1790-5052
E-ISSN: 2224-3488

Volume 14, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


A Novel Approach for the Restoration of AFM Images that were Produced Using the Impulse Response Technique at Different Scanning Speeds

AUTHORS: Ahmed Ahtaiba, Abdulwanis Abdulhadi, H. M. Amreiz, Otman Imrayed

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ABSTRACT: The atomic force microscope is a very useful tool for use in biology and in nano-technology, since it can be used to measure a variety of objects such as cells and nano-particles in a variety of different environments. However, the images produced by the AFM are distorted and do not accurately represent the true shape of the measured cells or particles, even though many researchers do not take this fact into account. In this paper we determine the impulse response of AFM using experimental results gathered from measuring the cylindrical sample via AFM. Once the AFM impulse response is estimated, the Lucy- Richardson algorithm is used to calculate the deconvolution between the resultant AFM impulse response and the blurred AFM image. This produces a more accurate AFM image. Also in this paper, we compare raw experimental AFM images with the Restored AFM images quantitively and the proposed algorithm is shown to provide superior performance.

KEYWORDS: AFM, Impulse response, deconvolution, image restoration, scanning speed, pillar sample.

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[4] L.S.Dongmo, J.S. Villarrubia, S.N.Jones, T.B.Renegar, M.T.Postek, and J.F.Song, Experimental Test of Blind Tip Reconstruction for Scanning Probe Microscopy, Ultramicroscopy, Vol. 85, 2000, PP. 141 - 153.

[5] T. Brain and E. Steven, A Method to Improve the Quantitative Analysis of SFM Images at the Nanoscale, Surf. Sci., 2001.

[6] D.Tranchida, S.Piccarolo, and R.A.C.Deblieck, Some Experimental Issues of AFM Tip Blind Estimation: The Effect of Noise and Resolution, Meas. Sci. Technol., Vol.17,2006 PP. 2630 – 2636.

[7] L. Lucy, An Iterative Technique for the Rectification of Observed Distributions, The Astronomical Journal, Vol. 79, No.6, 1974, pp. 745-754.

[8] W. Richardson, Bayesian-Based Iterative Method of Image Restoration, J. Opt. Soc. Am., Vol. 62, No. 1, 1972, pp. 55-59.

[9] R. Gonzalez, Digital Image Processing Using Matlab, Second Edition, Gatemark Publishing, 2009.

WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 14, 2018, Art. #1, pp. 1-7


Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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