title: Computational methods to produce enhanced images out of given SNOM raw data.
abstract: We propose to produce enhanced images out of given raw data read out by SNOM through (i) improved image formation from the raw data; (ii) wavelet de-noising of the image; and (iii) resolution enhancement by deconvolution. Our methods of improvement are based on refined models for the reduction of noise present in SNOM images and on a linear model for the imaging process. They are successfully demonstrated on (magneto-)optical SNOM images of suitable test samples, but yet they are applicable to other scanning probe microscopy techniques.
authors.affiliation: II. Physikalisches Institut, Aachen University, Templergraben 55, D-52056 Aachen, Germany. fabian.kiendl@physik.rwth-aachen.de
authors.forename: F
authors.initials: F
authors.lastname: Kiendl
authors.forename: G
authors.initials: G
authors.lastname: Güntherodt