Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30807
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, S-
dc.contributor.authorWang, Y-
dc.contributor.authorLiu, P-
dc.contributor.authorWang, Y-
dc.contributor.authorHuang, L-
dc.contributor.authorWang, M-
dc.contributor.authorAtadjanov, I-
dc.date.accessioned2025-02-24T17:05:36Z-
dc.date.available2025-02-24T17:05:36Z-
dc.date.issued2024-10-23-
dc.identifierORCiD: Yinghui Wang https://orcid.org/0009-0004-8157-7326-
dc.identifierORCiD: Yukai Wang https://orcid.org/0009-0008-3327-2041-
dc.identifierORCiD: Liangyi Huang https://orcid.org/0000-0003-0845-3293-
dc.identifierORCiD: Mingfeng Wang https://orcid.org/0000-0001-6551-0325-
dc.identifier3317-
dc.identifier.citationZhang, S. et al. (2024) 'Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity', Mathematics, 12 (21), 3317, pp. 1 - 17. doi: 10.3390/math12213317.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30807-
dc.descriptionData Availability Statement: The data used to support the findings of this paper are available from the corresponding authors upon request.en_US
dc.descriptionMSC: 68U10; 92C55.-
dc.description.abstractWireless capsule endoscopy (WCE) has become an important tool for gastrointestinal examination due to its non-invasive nature and minimal patient discomfort. However, the quality of WCE images is often limited by built-in lighting and the complex gastrointestinal environment, particularly in the region filled with small intestinal villi. Additionally, the morphology of these villi usually serves as a crucial indicator for related diseases. To address this, we propose a novel method to enhance the clarity of small intestinal villi in WCE images. Our method uses a guided filter to separate the low- and high-frequency components of WCE images. Illumination gain factors are calculated from the low-frequency components, while gradient gain factors are derived from Laplacian convolutions on different regions. These factors enhance the high-frequency components, combined with the original image. This approach improves edge detail while suppressing noise and avoiding edge overshoot, providing clearer images for diagnosis. Experimental results show that our proposed method achieved a 45.47% increase in PSNR compared to classical enhancement algorithms, a 12.63% improvement in IRMLE relative to the original images, and a 31.84% reduction in NIQE with respect to the original images.en_US
dc.description.sponsorshipThis research was funded by the National Natural Science Foundation of China, grant number 62172190, the National Key Research and Development Program, grant number 2023YFC3805901, the “Double Creation” Plan of Jiangsu Province (Certificate: JSSCRC2021532), and partially by the “Taihu Talent-Innovative Leading Talent” Plan of Wuxi City (Certificate Date: 202110).en_US
dc.format.extent1 - 17-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsAttribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectgain factoren_US
dc.subjectimagesen_US
dc.subjectsmall intestinal villien_US
dc.subjectwireless capsule endoscopyen_US
dc.titleCapsule Endoscopy Image Enhancement for Small Intestinal Villi Clarityen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/math12213317-
dc.relation.isPartOfMathematics-
pubs.issue21-
pubs.publication-statusPublished-
pubs.volume12-
dc.identifier.eissn2227-7390-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2024-10-14-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).4.79 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons