Color HDR video processing architecture for smart camera View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07-30

AUTHORS

Svetozar Nosko, Martin Musil, Pavel Zemcik, Roman Juranek

ABSTRACT

This paper presents a novel FPGA architecture of high dynamic range (HDR) video processing pipeline, based on the capturing of a sequence of differently exposed images. An acquisition process enabling multi-exposure HDR as well as fast implementation of local tone mapping operator involving bilateral filtering is proposed. The HDR acquisition process is enhanced by the application of novel deghosting method, which is dedicated for hardware implementation and proposed in this paper. The hardware processing pipeline is designed with regards to efficiency and performance and the calculations are performed in fixed point arithmetic. The pipeline is suitable for programmable hardware (FPGA—Field Programmable Gate Arrays) implementation and it achieves real-time performance on full HD HDR video which overcomes state-of-the-art solutions that use local tone mapping and deghosting algorithm. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11554-018-0810-z

DOI

http://dx.doi.org/10.1007/s11554-018-0810-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105913454


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Brno University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Brno University of Technology, FIT, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nosko", 
        "givenName": "Svetozar", 
        "id": "sg:person.014730503610.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730503610.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brno University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Brno University of Technology, FIT, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Musil", 
        "givenName": "Martin", 
        "id": "sg:person.016061766403.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016061766403.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brno University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Brno University of Technology, FIT, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zemcik", 
        "givenName": "Pavel", 
        "id": "sg:person.013660264327.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013660264327.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brno University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Brno University of Technology, FIT, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Juranek", 
        "givenName": "Roman", 
        "id": "sg:person.016362164213.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016362164213.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11554-013-0393-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000839903", 
          "https://doi.org/10.1007/s11554-013-0393-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2009.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004580382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11265-010-0491-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007344297", 
          "https://doi.org/10.1007/s11265-010-0491-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-8659.00689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011705276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.1557695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012154487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1399504.1360666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014605007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/258734.258884", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016367988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/566570.566574", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018299898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.2040003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019914460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/566654.566575", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023370539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/jlpea3040337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026635347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.2230313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030399760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1687-5281-2012-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030864949", 
          "https://doi.org/10.1186/1687-5281-2012-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.767728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035079226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8659.2009.01358.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036584064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8659.2009.01358.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036584064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11042-016-3692-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040670122", 
          "https://doi.org/10.1007/s11042-016-3692-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11042-016-3692-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040670122", 
          "https://doi.org/10.1007/s11042-016-3692-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11554-011-0198-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041470972", 
          "https://doi.org/10.1007/s11554-011-0198-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1360612.1360667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063154822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1155/2007/80971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063202414", 
          "https://doi.org/10.1155/2007/80971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.24.001403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065099946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.1999.786966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093906469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvmp.2010.8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094979126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/pg.2007.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095147138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccphot.2015.7168378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095538393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icme.2009.5202550", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095609357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icme.2009.5202550", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095609357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iscas.2012.6271513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095769239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1964921.1964936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098939673"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-07-30", 
    "datePublishedReg": "2018-07-30", 
    "description": "This paper presents a novel FPGA architecture of high dynamic range (HDR) video processing pipeline, based on the capturing of a sequence of differently exposed images. An acquisition process enabling multi-exposure HDR as well as fast implementation of local tone mapping operator involving bilateral filtering is proposed. The HDR acquisition process is enhanced by the application of novel deghosting method, which is dedicated for hardware implementation and proposed in this paper. The hardware processing pipeline is designed with regards to efficiency and performance and the calculations are performed in fixed point arithmetic. The pipeline is suitable for programmable hardware (FPGA\u2014Field Programmable Gate Arrays) implementation and it achieves real-time performance on full HD HDR video which overcomes state-of-the-art solutions that use local tone mapping and deghosting algorithm.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11554-018-0810-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6899050", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1136113", 
        "issn": [
          "1861-8200", 
          "1861-8219"
        ], 
        "name": "Journal of Real-Time Image Processing", 
        "type": "Periodical"
      }
    ], 
    "name": "Color HDR video processing architecture for smart camera", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b2c1909fdb7dadfd23b32c5f9a81686338f87fda8e36b3d84525ba35c4c368f7"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11554-018-0810-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105913454"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11554-018-0810-z", 
      "https://app.dimensions.ai/details/publication/pub.1105913454"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:19", 
    "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/v90/0000000348_0000000348/records_54322_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11554-018-0810-z"
  }
]
 

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/s11554-018-0810-z'

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/s11554-018-0810-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11554-018-0810-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11554-018-0810-z'


 

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

165 TRIPLES      21 PREDICATES      51 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11554-018-0810-z schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N9e280bf55dd84bd995c05d14db7b3881
4 schema:citation sg:pub.10.1007/s11042-016-3692-8
5 sg:pub.10.1007/s11265-010-0491-8
6 sg:pub.10.1007/s11554-011-0198-5
7 sg:pub.10.1007/s11554-013-0393-7
8 sg:pub.10.1155/2007/80971
9 sg:pub.10.1186/1687-5281-2012-1
10 https://doi.org/10.1016/j.patcog.2009.12.006
11 https://doi.org/10.1109/cvmp.2010.8
12 https://doi.org/10.1109/cvpr.1999.786966
13 https://doi.org/10.1109/iccphot.2015.7168378
14 https://doi.org/10.1109/icme.2009.5202550
15 https://doi.org/10.1109/iscas.2012.6271513
16 https://doi.org/10.1109/pg.2007.17
17 https://doi.org/10.1111/1467-8659.00689
18 https://doi.org/10.1111/j.1467-8659.2009.01358.x
19 https://doi.org/10.1117/1.1557695
20 https://doi.org/10.1117/12.2040003
21 https://doi.org/10.1117/12.2230313
22 https://doi.org/10.1117/12.767728
23 https://doi.org/10.1145/1360612.1360667
24 https://doi.org/10.1145/1399504.1360666
25 https://doi.org/10.1145/1964921.1964936
26 https://doi.org/10.1145/258734.258884
27 https://doi.org/10.1145/566570.566574
28 https://doi.org/10.1145/566654.566575
29 https://doi.org/10.1364/ao.24.001403
30 https://doi.org/10.3390/jlpea3040337
31 schema:datePublished 2018-07-30
32 schema:datePublishedReg 2018-07-30
33 schema:description This paper presents a novel FPGA architecture of high dynamic range (HDR) video processing pipeline, based on the capturing of a sequence of differently exposed images. An acquisition process enabling multi-exposure HDR as well as fast implementation of local tone mapping operator involving bilateral filtering is proposed. The HDR acquisition process is enhanced by the application of novel deghosting method, which is dedicated for hardware implementation and proposed in this paper. The hardware processing pipeline is designed with regards to efficiency and performance and the calculations are performed in fixed point arithmetic. The pipeline is suitable for programmable hardware (FPGA—Field Programmable Gate Arrays) implementation and it achieves real-time performance on full HD HDR video which overcomes state-of-the-art solutions that use local tone mapping and deghosting algorithm.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf sg:journal.1136113
38 schema:name Color HDR video processing architecture for smart camera
39 schema:pagination 1-12
40 schema:productId N7ac1cce7e5b4485d8a6c5676a05e4f7d
41 Nc15d26f6725d4709bd2def42617f5ce3
42 Nd2d6ed4b132b4e0faf97f92ac8685626
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105913454
44 https://doi.org/10.1007/s11554-018-0810-z
45 schema:sdDatePublished 2019-04-11T10:19
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Nb2f40e3bb526486f84690f552f3c6f20
48 schema:url https://link.springer.com/10.1007%2Fs11554-018-0810-z
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N7ac1cce7e5b4485d8a6c5676a05e4f7d schema:name dimensions_id
53 schema:value pub.1105913454
54 rdf:type schema:PropertyValue
55 N9e280bf55dd84bd995c05d14db7b3881 rdf:first sg:person.014730503610.89
56 rdf:rest Nbc116fc1cf494fa981cc5d758573458a
57 Na913ecc25633491a821eac68b8fe4197 rdf:first sg:person.013660264327.01
58 rdf:rest Nc4d3a95c41f04996a5e5c6b5fe18ce69
59 Nb2f40e3bb526486f84690f552f3c6f20 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Nbc116fc1cf494fa981cc5d758573458a rdf:first sg:person.016061766403.56
62 rdf:rest Na913ecc25633491a821eac68b8fe4197
63 Nc15d26f6725d4709bd2def42617f5ce3 schema:name readcube_id
64 schema:value b2c1909fdb7dadfd23b32c5f9a81686338f87fda8e36b3d84525ba35c4c368f7
65 rdf:type schema:PropertyValue
66 Nc4d3a95c41f04996a5e5c6b5fe18ce69 rdf:first sg:person.016362164213.33
67 rdf:rest rdf:nil
68 Nd2d6ed4b132b4e0faf97f92ac8685626 schema:name doi
69 schema:value 10.1007/s11554-018-0810-z
70 rdf:type schema:PropertyValue
71 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
72 schema:name Information and Computing Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
75 schema:name Artificial Intelligence and Image Processing
76 rdf:type schema:DefinedTerm
77 sg:grant.6899050 http://pending.schema.org/fundedItem sg:pub.10.1007/s11554-018-0810-z
78 rdf:type schema:MonetaryGrant
79 sg:journal.1136113 schema:issn 1861-8200
80 1861-8219
81 schema:name Journal of Real-Time Image Processing
82 rdf:type schema:Periodical
83 sg:person.013660264327.01 schema:affiliation https://www.grid.ac/institutes/grid.4994.0
84 schema:familyName Zemcik
85 schema:givenName Pavel
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013660264327.01
87 rdf:type schema:Person
88 sg:person.014730503610.89 schema:affiliation https://www.grid.ac/institutes/grid.4994.0
89 schema:familyName Nosko
90 schema:givenName Svetozar
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730503610.89
92 rdf:type schema:Person
93 sg:person.016061766403.56 schema:affiliation https://www.grid.ac/institutes/grid.4994.0
94 schema:familyName Musil
95 schema:givenName Martin
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016061766403.56
97 rdf:type schema:Person
98 sg:person.016362164213.33 schema:affiliation https://www.grid.ac/institutes/grid.4994.0
99 schema:familyName Juranek
100 schema:givenName Roman
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016362164213.33
102 rdf:type schema:Person
103 sg:pub.10.1007/s11042-016-3692-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040670122
104 https://doi.org/10.1007/s11042-016-3692-8
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/s11265-010-0491-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007344297
107 https://doi.org/10.1007/s11265-010-0491-8
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s11554-011-0198-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041470972
110 https://doi.org/10.1007/s11554-011-0198-5
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s11554-013-0393-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000839903
113 https://doi.org/10.1007/s11554-013-0393-7
114 rdf:type schema:CreativeWork
115 sg:pub.10.1155/2007/80971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063202414
116 https://doi.org/10.1155/2007/80971
117 rdf:type schema:CreativeWork
118 sg:pub.10.1186/1687-5281-2012-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030864949
119 https://doi.org/10.1186/1687-5281-2012-1
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.patcog.2009.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004580382
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1109/cvmp.2010.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094979126
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1109/cvpr.1999.786966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093906469
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/iccphot.2015.7168378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095538393
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1109/icme.2009.5202550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095609357
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/iscas.2012.6271513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095769239
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/pg.2007.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095147138
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1111/1467-8659.00689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011705276
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1111/j.1467-8659.2009.01358.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036584064
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1117/1.1557695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012154487
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1117/12.2040003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019914460
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1117/12.2230313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030399760
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1117/12.767728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035079226
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1145/1360612.1360667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063154822
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1145/1399504.1360666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014605007
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1145/1964921.1964936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098939673
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1145/258734.258884 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016367988
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1145/566570.566574 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018299898
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1145/566654.566575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023370539
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1364/ao.24.001403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065099946
160 rdf:type schema:CreativeWork
161 https://doi.org/10.3390/jlpea3040337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026635347
162 rdf:type schema:CreativeWork
163 https://www.grid.ac/institutes/grid.4994.0 schema:alternateName Brno University of Technology
164 schema:name Brno University of Technology, FIT, Brno, Czech Republic
165 rdf:type schema:Organization
 




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


...