title: An improved Wiener deconvolution filter for high-resolution electron microscopy images.
abstract: We propose an improved Wiener deconvolution filter for high-resolution transmission electron microscopy (HRTEM) images and apply it to an experimental graphite image. The improved filter can simultaneously eliminate the modulation transfer function effects of CCD cameras and reduce noise, thereby confirming its superiority over the general Wiener deconvolution and Wiener denoising filters. In the resulting image, graphene lattices appear. In particular, because of our on-estimation of the noise power spectrum, the vacuum remains naturally smooth and very clear graphene-vacuum boundaries generates. Quantitatively, the signal-to-noise ratio of the filtered image improves by a factor of 3. The proposed method is applicable to very noisy HRTEM images of weak scattering objects, such as few-layer graphene or boron nitride.
authors.affiliation: College of Science, South China Agricultural University, Guangzhou, Guangdong 510642, PR China. flin_163@163.com
authors.forename: Fang
authors.initials: F
authors.lastname: Lin
authors.forename: Chuanhong
authors.initials: C
authors.lastname: Jin
keywords: Graphene; HRTEM image; Improved Wiener deconvolution filter; MTF; Noise reduction