Digital restoration of scanning electrochemical microscope images

Keith Bartels, Chongmok Lee, Alan Bovik, Allen J. Bard

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Images obtained from the scanning electrochemical microscope (SECM) have been restored by digital computer techniques. SECM images are inherently blurred by the diffusion process that occurs in the oxidation-reduction reaction at the probe tip. Restoration of an image of the bottom surface of a Ligustrum sinensis leaf as well the image of a conductive inverse indium tin oxide grid structure is described. The authors present two techniques for restoring SECM images. The first is an inverse filtering technique and the second is a smoothed Taylor series approximation of the unblurred image via a modification of a procedure given in A. Rosenfeld and A.C. Kak.

Original languageEnglish
Pages (from-to)30-39
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1450
StatePublished - 1991
EventBiomedical Image Processing II - San Jose, CA, USA
Duration: 25 Feb 199127 Feb 1991

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