{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:12:27Z","timestamp":1782576747816,"version":"3.54.5"},"reference-count":51,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Directorate of Research and Community Service, Telkom University","award":["2018R1A6A1A03024003"],"award-info":[{"award-number":["2018R1A6A1A03024003"]}]},{"name":"Directorate of Research and Community Service, Telkom University","award":["IITP-2022-2020-0-01612"],"award-info":[{"award-number":["IITP-2022-2020-0-01612"]}]},{"name":"Ministry of Education, Science and Technology","award":["2018R1A6A1A03024003"],"award-info":[{"award-number":["2018R1A6A1A03024003"]}]},{"name":"Ministry of Education, Science and Technology","award":["IITP-2022-2020-0-01612"],"award-info":[{"award-number":["IITP-2022-2020-0-01612"]}]},{"name":"MSIT (Ministry of Science and ICT)","award":["2018R1A6A1A03024003"],"award-info":[{"award-number":["2018R1A6A1A03024003"]}]},{"name":"MSIT (Ministry of Science and ICT)","award":["IITP-2022-2020-0-01612"],"award-info":[{"award-number":["IITP-2022-2020-0-01612"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Recently, compressive sensing (CS) schemes have been studied as a new compression modality that exploits the sensing matrix in the measurement scheme and the reconstruction scheme to recover the compressed signal. In addition, CS is exploited in medical imaging (MI) to support efficient sampling, compression, transmission, and storage of a large amount of MI. Although CS of MI has been extensively investigated, the effect of color space in CS of MI has not yet been studied in the literature. To fulfill these requirements, this article proposes a novel CS of MI based on hue-saturation value (HSV), using spread spectrum Fourier sampling (SSFS) and sparsity averaging with reweighted analysis (SARA). An HSV loop that performs SSFS is proposed to obtain a compressed signal. Next, HSV\u2013SARA is proposed to reconstruct MI from the compressed signal. A set of color MIs is investigated, such as colonoscopy, magnetic resonance imaging of the brain and eye, and wireless capsule endoscopy images. Experiments were performed to show the superiority of HSV\u2013SARA over benchmark methods in terms of signal-to-noise ratio (SNR), structural similarity (SSIM) index, and measurement rate (MR). The experiments showed that a color MI, with a resolution of 256\u00d7256 pixels, could be compressed by the proposed CS at MR of 0.1, and could be improved in terms of SNR being 15.17% and SSIM being 2.53%. The proposed HSV\u2013SARA can be a solution for color medical image compression and sampling to improve the image acquisition of medical devices.<\/jats:p>","DOI":"10.3390\/s23052616","type":"journal-article","created":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T02:01:51Z","timestamp":1677549711000},"page":"2616","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Compressive Sensing of Medical Images Based on HSV Color Space"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0243-9020","authenticated-orcid":false,"given":"Gandeva Bayu","family":"Satrya","sequence":"first","affiliation":[{"name":"School of Applied Science, Telkom University, Bandung 40257, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5507-2579","authenticated-orcid":false,"given":"I Nyoman Apraz","family":"Ramatryana","sequence":"additional","affiliation":[{"name":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2526-2395","authenticated-orcid":false,"given":"Soo Young","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"21771","DOI":"10.1007\/s11042-020-08898-3","article-title":"A survey on brain tumor detection techniques for MR images","volume":"79","author":"Chahal","year":"2020","journal-title":"Multimed. 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