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THE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS IN STRUCTURED ILLUMINATION MICROSCOPY

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00542439" target="_blank" >RIV/67985823:_____/21:00542439 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14330/21:00121362

  • Result on the web

    <a href="https://www.ias-iss.org/ojs/IAS/article/view/2432" target="_blank" >https://www.ias-iss.org/ojs/IAS/article/view/2432</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5566/ias.2432" target="_blank" >10.5566/ias.2432</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    THE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS IN STRUCTURED ILLUMINATION MICROSCOPY

  • Original language description

    Filtration of super-resolved microscopic images brings often troubles with removing undesired image parts like, e.g., noise, inhomogenous background and reconstruction artifacts. Standard filtration techniques, e.g., convolution- or Fourier transform-based methods are not always appropriate, since they may lower image resolution that was acquired by hi-tech and expensive microscopy systems. Thus, in this article it is proposed to filter such images using discrete wavelet transform (DWT). Newly developed Wavelet_Denoise plugin for free available Fiji software package demonstrates important possibilities of applying DWT to images: Decomposition of a filtered picture using various wavelet filters and levels of details with showing decomposed images and visualization of effects of back transformation of the picture with chosen level of suppression or denoising of wavelet coefficients. The Fiji framework allows, for example, using a plethora of various microscopic image formats for data opening, users can easily install the plugin through a menu command and the plugin supports processing 3D images in Z-stacks. The application of the plugin for removal of reconstruction artifacts and undesirable background in images acquired by super-resolved structured illumination microscopy is demonstrated as well.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Image Analysis and Stereology

  • ISSN

    1580-3139

  • e-ISSN

  • Volume of the periodical

    40

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SI - SLOVENIA

  • Number of pages

    14

  • Pages from-to

    3-16

  • UT code for WoS article

    000639563600002

  • EID of the result in the Scopus database

    2-s2.0-85111492312