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dc.contributor.authorSomani, Ayush
dc.contributor.authorBanerjee, Pragyan
dc.contributor.authorRastogi, Manu
dc.contributor.authorHabib, Anowarul
dc.contributor.authorAgarwal, Krishna
dc.contributor.authorPrasad, Dilip Kumar
dc.date.accessioned2024-02-21T12:10:10Z
dc.date.available2024-02-21T12:10:10Z
dc.date.issued2023-08-14
dc.description.abstractScanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting technique for SAM that fills in missing information to improve the resolution of the SAM image. We compared the performance of our technique with four other different techniques based on generative adversarial networks (GANs), including AOTGAN, DeepFill v2, Edge-Connect and DMFN. Our results show that the hypergraphs image inpainting model provides the SOTA average SSIM of 0.82 with a PSNR of 27.96 for 4x image size enhancement over the raw SAM image. We emphasize the importance of hypergraphs' interpretability to bridge the gap between human and machine perception, particularly for robust image recovery tools for acoustic scan imaging. We show that combining SAM with hypergraphs can yield more noise-robust explanations.en_US
dc.identifier.citationSomani A, Banerjee P, Rastogi, Habib A, Agarwal K, Prasad DK. Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2023:3113-3122en_US
dc.identifier.cristinIDFRIDAID 2213226
dc.identifier.doi10.1109/CVPRW59228.2023.00313
dc.identifier.issn2160-7508
dc.identifier.issn2160-7516
dc.identifier.urihttps://hdl.handle.net/10037/32996
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
dc.relation.projectIDUiT Norges arktiske universitet: 2061348en_US
dc.relation.projectIDNorges forskningsråd: 325741en_US
dc.relation.urihttps://openaccess.thecvf.com/content/CVPR2023W/DL-UIA/html/Somani_Image_Inpainting_With_Hypergraphs_for_Resolution_Improvement_in_Scanning_Acoustic_CVPRW_2023_paper.html
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleImage Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopyen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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