Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL. · IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025 · Journal publication
Original publication · Original publication · Original publication
Recorded summary
Computational photography spectrometry combines a physical spectral colour chart with an algorithm to reconstruct visible-range spectra from RGB photographs. The study tests transmission and reflection modes.
Recorded limitations
The method depends on a reference chart and its optical acquisition conditions. It does not establish unrestricted infrared recovery from an uncalibrated photograph.
Evidence and provenance
Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.
Study design and assessment
- design
- Journal publication
- assessment
- Not recorded
- trust Factor
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- jadad
- status
- unassessed
- score
- Not recorded
- evidence
- Not recorded
Topics and recorded topic scores
- key
- general:spectral-reconstruction
- title
- Computational Imaging and Spectral Reconstruction
- collection
- general
- trust Score
- Not recorded
Citation snapshot and identifiers
- id
- hsi-fda6f081ed5bea
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- citation Snapshot
- Not recorded
- citations By Collection
- general
- Not recorded
Complete approved library record
- id
- hsi-fda6f081ed5bea
- aliases
- None recorded
- source References
- ref
- NPL-1
- record Id
- hsi-fda6f081ed5bea
- source Type
- Journal publication
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- year
- 2025
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- pmcid
- PMC12481205
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Kwon S, Kim YL (2025). "Hyperspectral Information Extraction From Standard Photographs With Full Resolution." IEEE Transactions on Image Processing (ieeexplore.ieee.org/document/11125864) — 1–2 nm spectral resolution from standard RGB smartphone camera via colour reference chart; same laboratory demonstrated smartphone HSI for blood haemoglobin and tissue oximetry via "hyperspectral learning" (PNAS Nexus)
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-reconciled
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://pubmed.ncbi.nlm.nih.gov/40828724/
- metadata URL
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1109%2FTIP.2025.3597038%22&format=json&resultType=core&pageSize=4
- corrections
Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- ref
- NPL-153
- record Id
- hsi-fda6f081ed5bea
- source Type
- Journal publication
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- year
- 2025
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- pmcid
- PMC12481205
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Kwon S, Kim YL (2025). "Hyperspectral Information Extraction From Standard Photographs With Full Resolution." IEEE Transactions on Image Processing (ieeexplore.ieee.org/document/11125864) — Formal IEEE peer-reviewed publication: 1–2 nm spectral resolution from standard RGB cameras via colour reference chart; no hardware modification required
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-reconciled
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://pubmed.ncbi.nlm.nih.gov/40828724/
- metadata URL
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1109%2FTIP.2025.3597038%22&format=json&resultType=core&pageSize=4
- corrections
Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- source Type
- Journal publication
- source Verification
- Bibliographic metadata matched; scientific claims await appraisal.
- source Collection
- Hyperspectral Imaging · patent section 2.4
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- neurotransmitters
- None recorded
- year
- 2025
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- design
- Journal publication
- kind
- Journal publication
- identity Conflict
- Not recorded
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- urls
https://pubmed.ncbi.nlm.nih.gov/40828724/ · https://doi.org/10.1109/tip.2025.3597038 · https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/
- collections
general
- categories
Hyperspectral Imaging
- targets
- None recorded
- priority
- 1
- quotes
- None recorded
- summary
- Computational photography spectrometry combines a physical spectral colour chart with an algorithm to reconstruct visible-range spectra from RGB photographs. The study tests transmission and reflection modes.
- limitation
- The method depends on a reference chart and its optical acquisition conditions. It does not establish unrestricted infrared recovery from an uncalibrated photograph.
- citation Count
- Not recorded
- paper Trust Assessment
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- citations By Collection
- general
- Not recorded
- topics
- key
- general:spectral-reconstruction
- title
- Computational Imaging and Spectral Reconstruction
- collection
- general
- trust Score
- Not recorded
- journal Key
- ieeetransactionsonimageprocessing
- journal Label
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- chapter Entries
- id
- general-spectral-reconstruction-hsi-fda6f081ed5bea
- record Id
- hsi-fda6f081ed5bea
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- year
- 2025
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- design
- Journal publication
- urls
https://pubmed.ncbi.nlm.nih.gov/40828724/ · https://doi.org/10.1109/tip.2025.3597038 · https://pmc.ncbi.nlm.nih.gov/articles/PMC12481205/
- quotes
- None recorded
- summary
- Computational photography spectrometry combines a physical spectral colour chart with an algorithm to reconstruct visible-range spectra from RGB photographs. The study tests transmission and reflection modes.
- related Versions
- None recorded
- limitation
- The method depends on a reference chart and its optical acquisition conditions. It does not establish unrestricted infrared recovery from an uncalibrated photograph.
- citation Count
- Not recorded
- source Pages
- None recorded
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- targets
- None recorded
- categories
Hyperspectral Imaging
- source References
- ref
- NPL-1
- record Id
- hsi-fda6f081ed5bea
- source Type
- Journal publication
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- year
- 2025
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- pmcid
- PMC12481205
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Kwon S, Kim YL (2025). "Hyperspectral Information Extraction From Standard Photographs With Full Resolution." IEEE Transactions on Image Processing (ieeexplore.ieee.org/document/11125864) — 1–2 nm spectral resolution from standard RGB smartphone camera via colour reference chart; same laboratory demonstrated smartphone HSI for blood haemoglobin and tissue oximetry via "hyperspectral learning" (PNAS Nexus)
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-reconciled
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://pubmed.ncbi.nlm.nih.gov/40828724/
- metadata URL
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1109%2FTIP.2025.3597038%22&format=json&resultType=core&pageSize=4
- corrections
Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- ref
- NPL-153
- record Id
- hsi-fda6f081ed5bea
- source Type
- Journal publication
- title
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.
- authors
- Kwon S, Mok Park S, Ji Y, Sakthivel H, Woo Leem J, Kim YL.
- year
- 2025
- journal
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- doi
- 10.1109/tip.2025.3597038
- pmid
- 40828724
- pmcid
- PMC12481205
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Kwon S, Kim YL (2025). "Hyperspectral Information Extraction From Standard Photographs With Full Resolution." IEEE Transactions on Image Processing (ieeexplore.ieee.org/document/11125864) — Formal IEEE peer-reviewed publication: 1–2 nm spectral resolution from standard RGB cameras via colour reference chart; no hardware modification required
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-reconciled
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://pubmed.ncbi.nlm.nih.gov/40828724/
- metadata URL
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1109%2FTIP.2025.3597038%22&format=json&resultType=core&pageSize=4
- corrections
Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- source Type
- Journal publication
- source Verification
- Bibliographic metadata matched; scientific claims await appraisal.
- collection
- general
- chapter Number
- 11
- topic Id
- spectral-reconstruction
- topic Title
- Computational Imaging and Spectral Reconstruction
- trust Score
- Not recorded
- paper Trust Assessment
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- jadad
- status
- unassessed
- score
- Not recorded
- condition Evidence
- None recorded
- conditions
- None recorded
- topic Trust Scores
- None recorded
- full Text
- status
- not-indexed
- retrieval Available
- false