RGB-Based Compressed Medical Imaging Using Sparsity Averaging Reweighted Analysis for Wireless Capsule Endoscopy Images
DC Field | Value | Language |
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dc.contributor.author | Magdalena, Rita | - |
dc.contributor.author | Rahim, Tariq | - |
dc.contributor.author | Pratama, I. Putu Agus Eka | - |
dc.contributor.author | Novamizanti, Ledya | - |
dc.contributor.author | Ramatryana, I. Nyoman Apraz | - |
dc.contributor.author | Raja, Aamir Younas | - |
dc.contributor.author | Shin, Soo Young | - |
dc.date.accessioned | 2021-11-22T02:43:14Z | - |
dc.date.available | 2021-11-22T02:43:14Z | - |
dc.date.created | 2021-11-22 | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/20302 | - |
dc.description.abstract | Compressed medical imaging (CMI) is a medical image sampling process with several samples lower than the Nyquist-Shannon sampling theorem for efficient image sampling; therefore, speeds up the processing time of medical applications. In comparison to previous approaches focusing on single-layer images analysis, this paper proposes CMI using RGB-based sparsity averaging with reweighted analysis (RGB-SARA). The proposed RGB-SARA method is based on the spread spectrum (SS) sampling method, sparsity averaging (SA), basis pursuit denoise (BPDN) reconstruction method, and reweighted analysis (RA). The CS-based SS sampling method compresses each sample in the specific RGB layer followed by SA and BPDN with RA as a sparsity basis and to enhance the performance of CMI reconstruction, respectively. A detailed results analysis is presented in terms of signal-to-noise ratio (SNR), average SNR (ASNR), structural similarity index (SSIM), and processing time demonstrating the efficacy of the proposed RGB-SARA over conventional CMI, i.e., Haar, Daubechies 8 (Db8), and curvelet. A successful demonstration is presented proving that the proposed RGB-SARA is a potential of a new compression method for medical images with high visual quality. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | RGB-Based Compressed Medical Imaging Using Sparsity Averaging Reweighted Analysis for Wireless Capsule Endoscopy Images | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Rahim, Tariq | - |
dc.contributor.affiliatedAuthor | Ramatryana, I. Nyoman Apraz | - |
dc.contributor.affiliatedAuthor | Shin, Soo Young | - |
dc.identifier.doi | 10.1109/ACCESS.2021.3124239 | - |
dc.identifier.wosid | 000716680900001 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.9, pp.147091 - 147101 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 9 | - |
dc.citation.startPage | 147091 | - |
dc.citation.endPage | 147101 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | CT | - |
dc.subject.keywordAuthor | Magnetic resonance imaging | - |
dc.subject.keywordAuthor | Image reconstruction | - |
dc.subject.keywordAuthor | Image coding | - |
dc.subject.keywordAuthor | Signal to noise ratio | - |
dc.subject.keywordAuthor | Medical diagnostic imaging | - |
dc.subject.keywordAuthor | Image color analysis | - |
dc.subject.keywordAuthor | Computed tomography | - |
dc.subject.keywordAuthor | Compressed imaging | - |
dc.subject.keywordAuthor | RGB-based | - |
dc.subject.keywordAuthor | reweighted analysis | - |
dc.subject.keywordAuthor | sparsity averaging | - |
dc.subject.keywordAuthor | wireless capsule endoscopy | - |
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