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dc.contributor.authorGupta, Shubham Kumar
dc.contributor.authorPal, Rishant
dc.contributor.authorAhmad, Azeem
dc.contributor.authorMelandsø, Frank
dc.contributor.authorHabib, Anowarul
dc.date.accessioned2023-09-06T14:06:07Z
dc.date.available2023-09-06T14:06:07Z
dc.date.issued2023-08-14
dc.description.abstractScanning acoustic microscopy (SAM) is a label-free imaging technique used in biomedical imaging, non-destructive testing, and material research to visualize surface and sub-surface structures. In ultrasonic imaging, noises in images can reduce contrast, edge and texture details, and resolution, negatively impacting post-processing algorithms. To reduce the noises in the scanned image, we have employed a 4D block-matching (BM4D) filter that can be used to denoise acoustic volumetric signals. BM4D filter utilizes the transform domain filtering technique with hard thresholding and Wiener filtering stages. The proposed algorithm produces the most suitable denoised output compared to other conventional filtering methods (Gaussian filter, median filter, and Wiener filter) when applied to noisy images. The output from the BM4D-filtered images was compared to the noise level with different conventional filters. Filtered images were qualitatively analyzed using metrics such as structural similarity index matrix (SSIM) and peak signal-to-noise ratio (PSNR). The combined qualitative and quantitative analysis demonstrates that the BM4D technique is the most suitable method for denoising acoustic imaging from the SAM. The proposed block matching filter opens a new avenue in the field of acoustic or photoacoustic image denoising, particularly in scenarios with poor signal-to-noise ratios.en_US
dc.identifier.citationGupta, Pal, Ahmad, Melandsø, Habib. Image denoising in acoustic microscopy using block-matching and 4D filter. Scientific Reports. 2023;13(1):1-12en_US
dc.identifier.cristinIDFRIDAID 2170674
dc.identifier.doi10.1038/s41598-023-40301-7
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/10037/30763
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.journalScientific Reports
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleImage denoising in acoustic microscopy using block-matching and 4D filteren_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)