Combined Channel and Spatial Attention-Based Stereo Endoscopic Image Super-Resolution

dc.contributor.authorHayat M.
dc.contributor.authorArmvith S.
dc.contributor.authorAchakulvisut T.
dc.contributor.otherMahidol University
dc.date.accessioned2023-12-20T18:01:41Z
dc.date.available2023-12-20T18:01:41Z
dc.date.issued2023-01-01
dc.description.abstractStereo Imaging technology integration into medical diagnostics and surgeries brings a great revolution in the field of medical sciences. Now, surgeons and physicians have better insight into the anatomy of patients' organs. Like other technologies, stereo cameras have limitations, e.g., low resolution (LR) and blurry output images. Currently, most of the proposed techniques for super-resolution focus on developing complex blocks and complicated loss functions, which cause high system complexity. We proposed a combined channel and spatial attention block to extract features incorporated with a specific but very strong parallax attention module (PAM) for endoscopic image super-resolution. The proposed model is trained using the da Vinci dataset on scales 2 and 4. Our proposed model has improved PSNR up to 2.12 dB for scale 2 and 1.29 dB for scale 4, while SSIM is improved by 0.03 for scale 2 and 0.0008 for scale 4. By incorporating this method, diagnosis and treatment for endoscopic images can be more accurate and effective.
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON (2023) , 920-925
dc.identifier.doi10.1109/TENCON58879.2023.10322331
dc.identifier.eissn21593450
dc.identifier.issn21593442
dc.identifier.scopus2-s2.0-85179523588
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/91569
dc.rights.holderSCOPUS
dc.subjectEngineering
dc.titleCombined Channel and Spatial Attention-Based Stereo Endoscopic Image Super-Resolution
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85179523588&origin=inward
oaire.citation.endPage925
oaire.citation.startPage920
oaire.citation.titleIEEE Region 10 Annual International Conference, Proceedings/TENCON
oairecerif.author.affiliationChulalongkorn University
oairecerif.author.affiliationMahidol University

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