Color Error in the Digital Camera Image Capture Process View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-04

AUTHORS

John Penczek, Paul A. Boynton, Jolene D. Splett

ABSTRACT

The color error in images taken by digital cameras is evaluated with respect to its sensitivity to the image capture conditions. A parametric study was conducted to investigate the dependence of image color error on camera technology, illumination spectra, and lighting uniformity. The measurement conditions were selected to simulate the variation that might be expected in typical telemedicine situations. Substantial color errors were observed, depending on the measurement conditions. Several image post-processing methods were also investigated for their effectiveness in reducing the color errors. The results of this study quantify the level of color error that may occur in the digital camera image capture process, and provide guidance for improving the color accuracy through appropriate changes in that process and in post-processing. More... »

PAGES

182-191

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10278-013-9644-1

DOI

http://dx.doi.org/10.1007/s10278-013-9644-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028856360

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24162666


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Color", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lighting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Telemedicine", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institute of Standards and Technology", 
          "id": "https://www.grid.ac/institutes/grid.94225.38", 
          "name": [
            "National Institute of Standards and Technology, University of Colorado, MS 686.01, Rm. 1-3542, 325 Broadway, 80305-3328, Boulder, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penczek", 
        "givenName": "John", 
        "id": "sg:person.013127275533.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013127275533.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Standards and Technology", 
          "id": "https://www.grid.ac/institutes/grid.94225.38", 
          "name": [
            "National Institute of Standards and Technology, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boynton", 
        "givenName": "Paul A.", 
        "id": "sg:person.013763610755.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013763610755.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Standards and Technology", 
          "id": "https://www.grid.ac/institutes/grid.94225.38", 
          "name": [
            "National Institute of Standards and Technology, Boulder, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Splett", 
        "givenName": "Jolene D.", 
        "id": "sg:person.01143003616.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143003616.57"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1117/1.3360335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032604645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2342-10-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034542390", 
          "https://doi.org/10.1186/1471-2342-10-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10278-012-9479-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038213211", 
          "https://doi.org/10.1007/s10278-012-9479-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-04", 
    "datePublishedReg": "2014-04-01", 
    "description": "The color error in images taken by digital cameras is evaluated with respect to its sensitivity to the image capture conditions. A parametric study was conducted to investigate the dependence of image color error on camera technology, illumination spectra, and lighting uniformity. The measurement conditions were selected to simulate the variation that might be expected in typical telemedicine situations. Substantial color errors were observed, depending on the measurement conditions. Several image post-processing methods were also investigated for their effectiveness in reducing the color errors. The results of this study quantify the level of color error that may occur in the digital camera image capture process, and provide guidance for improving the color accuracy through appropriate changes in that process and in post-processing. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10278-013-9644-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1100894", 
        "issn": [
          "0897-1889", 
          "1618-727X"
        ], 
        "name": "Journal of Digital Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Color Error in the Digital Camera Image Capture Process", 
    "pagination": "182-191", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8976d9c1fa31610a001bfd4c3868f279479963c67a7c8bda7130f543acc01e62"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24162666"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100529"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10278-013-9644-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028856360"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10278-013-9644-1", 
      "https://app.dimensions.ai/details/publication/pub.1028856360"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:53", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000481.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10278-013-9644-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10278-013-9644-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10278-013-9644-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10278-013-9644-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10278-013-9644-1'


 

This table displays all metadata directly associated to this object as RDF triples.

120 TRIPLES      21 PREDICATES      38 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10278-013-9644-1 schema:about N117048c5c68c4415a6e1fb90ef301609
2 N38e290b33fa04990bd63d9656e24e5e6
3 N54eb9f06b8bc4e0bba23774ea6ef17f5
4 N56391993d15d4e1d8a6d0da75cef0111
5 N6af4ab4c0ea44f2c94004030d7d73593
6 Nadf7435a109f4f9a81b3b05d20004bbe
7 anzsrc-for:08
8 anzsrc-for:0801
9 schema:author Ndd79063c906044b9b2a422a20e055724
10 schema:citation sg:pub.10.1007/s10278-012-9479-1
11 sg:pub.10.1186/1471-2342-10-7
12 https://doi.org/10.1117/1.3360335
13 schema:datePublished 2014-04
14 schema:datePublishedReg 2014-04-01
15 schema:description The color error in images taken by digital cameras is evaluated with respect to its sensitivity to the image capture conditions. A parametric study was conducted to investigate the dependence of image color error on camera technology, illumination spectra, and lighting uniformity. The measurement conditions were selected to simulate the variation that might be expected in typical telemedicine situations. Substantial color errors were observed, depending on the measurement conditions. Several image post-processing methods were also investigated for their effectiveness in reducing the color errors. The results of this study quantify the level of color error that may occur in the digital camera image capture process, and provide guidance for improving the color accuracy through appropriate changes in that process and in post-processing.
16 schema:genre research_article
17 schema:inLanguage en
18 schema:isAccessibleForFree true
19 schema:isPartOf N007a1f4123d24833bb603d845974bf64
20 N14cb3f16e4b04d07b147a84bdfe99b24
21 sg:journal.1100894
22 schema:name Color Error in the Digital Camera Image Capture Process
23 schema:pagination 182-191
24 schema:productId N1ec25c2a67b64bd9a0bb97f96d45b0ee
25 N34a758eb4d78428e8bc9a917565c61a8
26 N8fa1a772f19b41f7bbe0d8b0b11d0fc7
27 N99a26332412b4f91903479dd518fdd57
28 Na5d9cb4fcf034af583d69e207bf20a3c
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028856360
30 https://doi.org/10.1007/s10278-013-9644-1
31 schema:sdDatePublished 2019-04-10T14:53
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N23dcf591d6d94029a401e88bdc799057
34 schema:url http://link.springer.com/10.1007/s10278-013-9644-1
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N007a1f4123d24833bb603d845974bf64 schema:issueNumber 2
39 rdf:type schema:PublicationIssue
40 N117048c5c68c4415a6e1fb90ef301609 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
41 schema:name Image Processing, Computer-Assisted
42 rdf:type schema:DefinedTerm
43 N14cb3f16e4b04d07b147a84bdfe99b24 schema:volumeNumber 27
44 rdf:type schema:PublicationVolume
45 N1ec25c2a67b64bd9a0bb97f96d45b0ee schema:name pubmed_id
46 schema:value 24162666
47 rdf:type schema:PropertyValue
48 N23c6c4e2f1c14178a94e1c7ff55242bf rdf:first sg:person.013763610755.26
49 rdf:rest N4b0b237cc30c485d95b703b2650515c8
50 N23dcf591d6d94029a401e88bdc799057 schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 N34a758eb4d78428e8bc9a917565c61a8 schema:name readcube_id
53 schema:value 8976d9c1fa31610a001bfd4c3868f279479963c67a7c8bda7130f543acc01e62
54 rdf:type schema:PropertyValue
55 N38e290b33fa04990bd63d9656e24e5e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Telemedicine
57 rdf:type schema:DefinedTerm
58 N4b0b237cc30c485d95b703b2650515c8 rdf:first sg:person.01143003616.57
59 rdf:rest rdf:nil
60 N54eb9f06b8bc4e0bba23774ea6ef17f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Photography
62 rdf:type schema:DefinedTerm
63 N56391993d15d4e1d8a6d0da75cef0111 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Lighting
65 rdf:type schema:DefinedTerm
66 N6af4ab4c0ea44f2c94004030d7d73593 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Color
68 rdf:type schema:DefinedTerm
69 N8fa1a772f19b41f7bbe0d8b0b11d0fc7 schema:name doi
70 schema:value 10.1007/s10278-013-9644-1
71 rdf:type schema:PropertyValue
72 N99a26332412b4f91903479dd518fdd57 schema:name nlm_unique_id
73 schema:value 9100529
74 rdf:type schema:PropertyValue
75 Na5d9cb4fcf034af583d69e207bf20a3c schema:name dimensions_id
76 schema:value pub.1028856360
77 rdf:type schema:PropertyValue
78 Nadf7435a109f4f9a81b3b05d20004bbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Calibration
80 rdf:type schema:DefinedTerm
81 Ndd79063c906044b9b2a422a20e055724 rdf:first sg:person.013127275533.37
82 rdf:rest N23c6c4e2f1c14178a94e1c7ff55242bf
83 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
84 schema:name Information and Computing Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
87 schema:name Artificial Intelligence and Image Processing
88 rdf:type schema:DefinedTerm
89 sg:journal.1100894 schema:issn 0897-1889
90 1618-727X
91 schema:name Journal of Digital Imaging
92 rdf:type schema:Periodical
93 sg:person.01143003616.57 schema:affiliation https://www.grid.ac/institutes/grid.94225.38
94 schema:familyName Splett
95 schema:givenName Jolene D.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143003616.57
97 rdf:type schema:Person
98 sg:person.013127275533.37 schema:affiliation https://www.grid.ac/institutes/grid.94225.38
99 schema:familyName Penczek
100 schema:givenName John
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013127275533.37
102 rdf:type schema:Person
103 sg:person.013763610755.26 schema:affiliation https://www.grid.ac/institutes/grid.94225.38
104 schema:familyName Boynton
105 schema:givenName Paul A.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013763610755.26
107 rdf:type schema:Person
108 sg:pub.10.1007/s10278-012-9479-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038213211
109 https://doi.org/10.1007/s10278-012-9479-1
110 rdf:type schema:CreativeWork
111 sg:pub.10.1186/1471-2342-10-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034542390
112 https://doi.org/10.1186/1471-2342-10-7
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1117/1.3360335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032604645
115 rdf:type schema:CreativeWork
116 https://www.grid.ac/institutes/grid.94225.38 schema:alternateName National Institute of Standards and Technology
117 schema:name National Institute of Standards and Technology, Boulder, CO, USA
118 National Institute of Standards and Technology, Gaithersburg, MD, USA
119 National Institute of Standards and Technology, University of Colorado, MS 686.01, Rm. 1-3542, 325 Broadway, 80305-3328, Boulder, CO, USA
120 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...