RGB-based compressed medical imaging using sparsity averaging reweighted analysis for wireless capsule endoscopy images

Rita Magdalena; Tariq Rahim; I. Putu Agus Eka Pratama; Ledya Novamizanti; I. Nyoman Apraz Ramatryana; Aamir Younas Raja; Soo Young Shin

doi:10.1109/ACCESS.2021.3124239

RGB-based compressed medical imaging using sparsity averaging reweighted analysis for wireless capsule endoscopy images

Rita Magdalena
, Tariq Rahim
, I. Putu Agus Eka Pratama
, Ledya Novamizanti
, I. Nyoman Apraz Ramatryana
, Aamir Younas Raja
, Soo Young Shin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	147091-147101
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3124239
Publication status	Published - 29 Oct 2021

Bibliographical note

Note: This work was supported by the Directorate of Research and Community Service, Telkom University.

Keywords

Computer science and informatics

Access to Document

10.1109/ACCESS.2021.3124239

https://doi.org/10.1109/ACCESS.2021.3124239

Cite this

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title = "RGB-based compressed medical imaging using sparsity averaging reweighted analysis for wireless capsule endoscopy images",

keywords = "Computer science and informatics",

author = "Rita Magdalena and Tariq Rahim and Pratama, \{I. Putu Agus Eka\} and Ledya Novamizanti and Ramatryana, \{I. Nyoman Apraz\} and Raja, \{Aamir Younas\} and Shin, \{Soo Young\}",

note = "Note: This work was supported by the Directorate of Research and Community Service, Telkom University.",

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doi = "10.1109/ACCESS.2021.3124239",

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AU - Magdalena, Rita

AU - Rahim, Tariq

AU - Pratama, I. Putu Agus Eka

AU - Novamizanti, Ledya

AU - Ramatryana, I. Nyoman Apraz

AU - Raja, Aamir Younas

AU - Shin, Soo Young

N1 - Note: This work was supported by the Directorate of Research and Community Service, Telkom University.

PY - 2021/10/29

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KW - Computer science and informatics

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EP - 147101

JO - IEEE Access

JF - IEEE Access

ER -