LECARM: Low-Light Image Enhancement Using the Camera Response Model
Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer vision techniques. However, existing techniques inevitably introduce color and lightness distortions when enhancing the images. To lower the...
Saved in:
| Published in | IEEE transactions on circuits and systems for video technology Vol. 29; no. 4; pp. 968 - 981 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.04.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1051-8215 1558-2205 |
| DOI | 10.1109/TCSVT.2018.2828141 |
Cover
Loading…
| Abstract | Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer vision techniques. However, existing techniques inevitably introduce color and lightness distortions when enhancing the images. To lower the distortions, we propose a novel enhancement framework using the response characteristics of cameras. First, we discuss how to determine a reasonable camera response model and its parameters. Then, we use the illumination estimation techniques to estimate the exposure ratio for each pixel. Finally, the selected camera response model is used to adjust each pixel to the desired exposure according to the estimated exposure ratio map. Experiments show that our method can obtain enhancement results with fewer color and lightness distortions compared with the several state-of-the-art methods. |
|---|---|
| AbstractList | Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer vision techniques. However, existing techniques inevitably introduce color and lightness distortions when enhancing the images. To lower the distortions, we propose a novel enhancement framework using the response characteristics of cameras. First, we discuss how to determine a reasonable camera response model and its parameters. Then, we use the illumination estimation techniques to estimate the exposure ratio for each pixel. Finally, the selected camera response model is used to adjust each pixel to the desired exposure according to the estimated exposure ratio map. Experiments show that our method can obtain enhancement results with fewer color and lightness distortions compared with the several state-of-the-art methods. |
| Author | Ren, Yurui Li, Ge Li, Thomas H. Ying, Zhenqiang |
| Author_xml | – sequence: 1 givenname: Yurui orcidid: 0000-0003-0178-4460 surname: Ren fullname: Ren, Yurui organization: Peking University Shenzhen Graduate School, Shenzhen, China – sequence: 2 givenname: Zhenqiang surname: Ying fullname: Ying, Zhenqiang organization: Peking University Shenzhen Graduate School, Shenzhen, China – sequence: 3 givenname: Thomas H. surname: Li fullname: Li, Thomas H. organization: Gpower Semiconductor Inc., Suzhou, China – sequence: 4 givenname: Ge orcidid: 0000-0003-0140-0949 surname: Li fullname: Li, Ge email: gli@pkusz.edu.cn organization: Peking University Shenzhen Graduate School, Shenzhen, China |
| BookMark | eNp9kMFOAjEQhhuDiYC-gF6aeF5suy3beiMbVJIlJghem263hSVsi-0S49u7CPHgwdPMYb75Z74B6DnvDAC3GI0wRuJhmb-9L0cEYT4inHBM8QXoY8Z4Qghiva5HDCecYHYFBjFuEcKU06wP8mKaTxbzR1j4z6So15sWzhq1NnDqNspp0xjXwlWs3Rq2GwNz1Zig4MLEvXfRwLmvzO4aXFq1i-bmXIdg9TRd5i9J8fo8yydFoolgbaJLzMa6YhprO7bUpmVFMKmMTWmGsFVKaK1ZpSwh3Z1KlQRZJBAWGS1JSXk6BPenvfvgPw4mtnLrD8F1kbL7Mk2FYFR0U-Q0pYOPMRgr96FuVPiSGMmjLPkjSx5lybOsDuJ_IF23qq29a4Oqd_-jdye0Nsb8ZvGUoizj6TfkQXhM |
| CODEN | ITCTEM |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2020_2992749 crossref_primary_10_1109_TCSVT_2021_3073371 crossref_primary_10_1007_s11760_021_02093_z crossref_primary_10_3390_e25091282 crossref_primary_10_1007_s00530_024_01298_9 crossref_primary_10_1016_j_jvcir_2024_104079 crossref_primary_10_1109_TAI_2021_3077522 crossref_primary_10_1137_22M1543161 crossref_primary_10_1007_s42979_021_00912_1 crossref_primary_10_1109_TCSVT_2021_3049940 crossref_primary_10_1109_JSTARS_2024_3357093 crossref_primary_10_1007_s11042_023_17141_8 crossref_primary_10_1109_TCSVT_2022_3146731 crossref_primary_10_1109_TCE_2024_3351711 crossref_primary_10_1016_j_ijleo_2022_168771 crossref_primary_10_1109_TITS_2024_3495034 crossref_primary_10_1016_j_displa_2024_102774 crossref_primary_10_1016_j_patcog_2023_109823 crossref_primary_10_1007_s11042_020_09948_6 crossref_primary_10_1007_s12596_025_02610_0 crossref_primary_10_1016_j_patcog_2023_110001 crossref_primary_10_1016_j_dsp_2024_104557 crossref_primary_10_1007_s00371_023_02770_9 crossref_primary_10_1016_j_eswa_2025_126616 crossref_primary_10_1016_j_image_2023_116925 crossref_primary_10_1016_j_ndteint_2024_103049 crossref_primary_10_1109_TIM_2022_3165303 crossref_primary_10_1109_ACCESS_2023_3305680 crossref_primary_10_1109_TETCI_2024_3359051 crossref_primary_10_1109_TCSVT_2022_3141578 crossref_primary_10_1109_TMM_2022_3194993 crossref_primary_10_1109_TCSVT_2023_3252007 crossref_primary_10_1109_TCSVT_2022_3190057 crossref_primary_10_1109_TCSVT_2022_3186880 crossref_primary_10_3390_sym14061165 crossref_primary_10_1109_TCSVT_2023_3323128 crossref_primary_10_1109_TCSVT_2024_3454763 crossref_primary_10_1016_j_cam_2023_115435 crossref_primary_10_1016_j_jvcir_2024_104133 crossref_primary_10_1049_ipr2_12114 crossref_primary_10_1109_TCE_2022_3209791 crossref_primary_10_1007_s00521_022_07713_4 crossref_primary_10_1109_ACCESS_2020_2983457 crossref_primary_10_1109_TETCI_2021_3053253 crossref_primary_10_1038_s41598_024_64421_w crossref_primary_10_1109_TCSVT_2022_3194169 crossref_primary_10_1109_ACCESS_2023_3336411 crossref_primary_10_1016_j_inffus_2022_12_012 crossref_primary_10_1007_s00371_021_02343_8 crossref_primary_10_1016_j_measurement_2025_116870 crossref_primary_10_3390_s24155019 crossref_primary_10_3390_s20164614 crossref_primary_10_3390_sym12091561 crossref_primary_10_1049_ipr2_12124 crossref_primary_10_1016_j_knosys_2024_112427 crossref_primary_10_1007_s11263_024_02292_4 crossref_primary_10_1016_j_dsp_2025_105044 crossref_primary_10_1109_TMM_2021_3068840 crossref_primary_10_3390_e23060746 crossref_primary_10_1109_TCSVT_2021_3086598 crossref_primary_10_3390_drones7070483 crossref_primary_10_1142_S0218001422540180 crossref_primary_10_3390_app12105257 crossref_primary_10_1109_TIP_2021_3135473 crossref_primary_10_1007_s11042_024_20086_1 crossref_primary_10_1109_TIP_2020_2986687 crossref_primary_10_3390_s22010085 crossref_primary_10_3390_app142311033 crossref_primary_10_1109_TCSVT_2023_3325357 crossref_primary_10_1016_j_dsp_2019_06_014 crossref_primary_10_1109_TIM_2023_3304675 crossref_primary_10_1109_TCSVT_2022_3181781 crossref_primary_10_3390_ijgi12100400 crossref_primary_10_3390_electronics12122654 crossref_primary_10_1016_j_neucom_2022_08_042 crossref_primary_10_1109_ACCESS_2020_3001206 crossref_primary_10_1364_OE_459063 crossref_primary_10_1109_TETCI_2024_3358200 crossref_primary_10_1109_TCSVT_2021_3113559 crossref_primary_10_1007_s11554_021_01104_z crossref_primary_10_1016_j_displa_2024_102738 crossref_primary_10_1088_1742_6596_2478_6_062022 crossref_primary_10_1016_j_dsp_2023_104256 crossref_primary_10_1016_j_knosys_2024_111958 crossref_primary_10_1145_3638772 crossref_primary_10_1016_j_patcog_2025_111411 crossref_primary_10_1016_j_dsp_2022_103547 crossref_primary_10_1109_TCI_2023_3323835 crossref_primary_10_3390_s21154986 crossref_primary_10_1109_TCSVT_2020_2991437 crossref_primary_10_1007_s12652_021_02947_x crossref_primary_10_1016_j_jvcir_2023_103978 crossref_primary_10_1109_ACCESS_2020_3023485 crossref_primary_10_1016_j_neucom_2025_129426 crossref_primary_10_1007_s12652_021_02930_6 crossref_primary_10_1016_j_oceaneng_2024_118951 crossref_primary_10_1007_s11001_022_09478_w crossref_primary_10_1109_TCSVT_2023_3241162 crossref_primary_10_1007_s40031_022_00838_z crossref_primary_10_1007_s11042_023_16207_x crossref_primary_10_1142_S0218126624501172 crossref_primary_10_1016_j_sigpro_2022_108523 crossref_primary_10_1016_j_sigpro_2021_108447 crossref_primary_10_3390_su15021029 crossref_primary_10_1109_TCI_2023_3340617 crossref_primary_10_1007_s10489_022_04013_1 crossref_primary_10_1049_ipr2_12148 crossref_primary_10_3390_electronics13193883 crossref_primary_10_1016_j_knosys_2023_111099 crossref_primary_10_1109_TETCI_2023_3327397 crossref_primary_10_1007_s00138_021_01272_9 crossref_primary_10_1109_TCSVT_2023_3324591 crossref_primary_10_1016_j_patrec_2024_07_017 crossref_primary_10_1016_j_sigpro_2022_108752 crossref_primary_10_1109_TAI_2022_3190240 crossref_primary_10_1109_TCSVT_2024_3377108 crossref_primary_10_1109_TIM_2023_3306525 crossref_primary_10_1007_s11042_021_11505_8 crossref_primary_10_1109_TCSVT_2020_3009235 crossref_primary_10_1142_S0218001423540125 crossref_primary_10_1109_TIP_2024_3519997 crossref_primary_10_1007_s11042_020_09919_x crossref_primary_10_1109_TIM_2021_3132086 |
| Cites_doi | 10.1109/TIP.2014.2324813 10.1109/TIP.2013.2261309 10.1109/TNNLS.2017.2649101 10.1109/TIP.2015.2482903 10.1109/CVPR.2007.383000 10.5201/ipol.2014.107 10.1109/CVPR.2007.383213 10.1016/j.sigpro.2016.05.031 10.1109/TIP.2012.2214050 10.1145/2366145.2366158 10.1049/iet-ipr:20070012 10.1109/TIP.2015.2442920 10.1145/2366145.2366222 10.1109/TCE.2007.4429280 10.1023/B:VLSI.0000028532.53893.82 10.1364/JOSAA.7.002032 10.1109/CVPR.2016.304 10.1137/S1052623496303470 10.1016/j.cviu.2006.02.007 10.1109/83.841534 10.1109/TCE.2007.381734 10.1109/CVPR.2004.1315266 10.1109/TIP.2018.2794218 10.1016/0734-189X(89)90166-7 10.1145/2070781.2024208 10.1109/CVPR.1999.786966 10.1109/TPAMI.2004.88 10.1109/TIP.2016.2639450 10.1109/ICCVW.2017.356 10.1109/ICME.2017.8019529 10.1109/TCYB.2015.2401732 10.1109/TCE.2003.1261234 10.1109/83.557356 10.1016/j.dsp.2013.06.002 10.1145/1360612.1360668 10.1109/TIP.2017.2651366 10.1016/j.jvcir.2016.11.001 10.1109/83.855434 10.1109/CVPR.2005.128 10.1109/ICIP.2015.7351501 10.1109/ICASSP.2016.7471978 10.1145/3150165.3150170 10.1016/j.patcog.2016.06.008 10.1109/TCE.2005.1561863 10.1109/TPAMI.2012.66 10.1109/LSP.2015.2487369 10.1364/AO.53.000082 10.1109/TPAMI.2003.1240119 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1109/TCSVT.2018.2828141 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1558-2205 |
| EndPage | 981 |
| ExternalDocumentID | 10_1109_TCSVT_2018_2828141 8340778 |
| Genre | orig-research |
| GroupedDBID | -~X 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS RXW TAE TN5 VH1 AAYXX CITATION RIG 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c295t-cb156cd5c1cf6f4f3bd212def34701faa9ccc5daf22215aab20f0901974b2b483 |
| IEDL.DBID | RIE |
| ISSN | 1051-8215 |
| IngestDate | Mon Jun 30 06:28:54 EDT 2025 Tue Jul 01 00:41:11 EDT 2025 Thu Apr 24 22:58:00 EDT 2025 Wed Aug 27 02:44:40 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c295t-cb156cd5c1cf6f4f3bd212def34701faa9ccc5daf22215aab20f0901974b2b483 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-0178-4460 0000-0003-0140-0949 |
| PQID | 2203399549 |
| PQPubID | 85433 |
| PageCount | 14 |
| ParticipantIDs | proquest_journals_2203399549 crossref_primary_10_1109_TCSVT_2018_2828141 ieee_primary_8340778 crossref_citationtrail_10_1109_TCSVT_2018_2828141 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2019-04-01 |
| PublicationDateYYYYMMDD | 2019-04-01 |
| PublicationDate_xml | – month: 04 year: 2019 text: 2019-04-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on circuits and systems for video technology |
| PublicationTitleAbbrev | TCSVT |
| PublicationYear | 2019 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref56 ref12 ref15 ref14 ref53 ref55 ref11 ref54 ref10 xu (ref48) 2012; 31 ref16 ref19 ref18 xu (ref49) 2011; 30 dong (ref17) 2011 jain (ref7) 1989 ref50 ref46 ref45 ref47 ref42 ref41 ref44 ref43 karaduzovic-hadziabdic (ref52) 2016 sen (ref51) 2012; 31 ref8 ref9 ref4 ref3 ref5 eilertsen (ref33) 2017 aydin (ref28) 2008; 27 ref35 ref34 ref37 ref36 ref31 ref30 ref32 ref2 ying (ref40) 2017 ren (ref29) 2017 ref1 ref39 ref38 fang (ref25) 2015; 22 gonzalez (ref6) 2008 ref24 ref23 ref26 ref20 ref22 ref21 ref27 oza (ref13) 2013; 23 |
| References_xml | – ident: ref20 doi: 10.1109/TIP.2014.2324813 – ident: ref2 doi: 10.1109/TIP.2013.2261309 – ident: ref24 doi: 10.1109/TNNLS.2017.2649101 – ident: ref50 doi: 10.1109/TIP.2015.2482903 – ident: ref41 doi: 10.1109/CVPR.2007.383000 – ident: ref53 doi: 10.5201/ipol.2014.107 – year: 2016 ident: ref52 article-title: Subjective and objective evaluation of multi-exposure high dynamic range image deghosting methods – ident: ref45 doi: 10.1109/CVPR.2007.383213 – start-page: 36 year: 2017 ident: ref40 article-title: A new image contrast enhancement algorithm using exposure fusion framework publication-title: Proc Int Conf Comput Anal Images Patterns – ident: ref21 doi: 10.1016/j.sigpro.2016.05.031 – ident: ref23 doi: 10.1109/TIP.2012.2214050 – year: 2017 ident: ref33 publication-title: HDR image reconstruction from a single exposure using deep CNNs – volume: 22 start-page: 838 year: 2015 ident: ref25 article-title: No-reference quality assessment of contrast-distorted images based on natural scene statistics publication-title: IEEE Signal Process Lett – volume: 31 start-page: 139 year: 2012 ident: ref48 article-title: Structure extraction from texture via relative total variation publication-title: ACM Trans Graph doi: 10.1145/2366145.2366158 – ident: ref55 doi: 10.1049/iet-ipr:20070012 – ident: ref54 doi: 10.1109/TIP.2015.2442920 – start-page: 1 year: 2011 ident: ref17 article-title: Fast efficient algorithm for enhancement of low lighting video publication-title: Proc IEEE Int Conf Multimedia Expo – volume: 31 year: 2012 ident: ref51 article-title: Robust patch-based HDR reconstruction of dynamic scenes publication-title: ACM Trans Graph doi: 10.1145/2366145.2366222 – ident: ref3 doi: 10.1109/TCE.2007.4429280 – ident: ref12 doi: 10.1023/B:VLSI.0000028532.53893.82 – ident: ref5 doi: 10.1364/JOSAA.7.002032 – ident: ref22 doi: 10.1109/CVPR.2016.304 – ident: ref42 doi: 10.1137/S1052623496303470 – ident: ref30 doi: 10.1016/j.cviu.2006.02.007 – ident: ref8 doi: 10.1109/83.841534 – ident: ref9 doi: 10.1109/TCE.2007.381734 – ident: ref46 doi: 10.1109/CVPR.2004.1315266 – ident: ref16 doi: 10.1109/TIP.2018.2794218 – ident: ref4 doi: 10.1016/0734-189X(89)90166-7 – volume: 30 year: 2011 ident: ref49 article-title: Image smoothing via $L_{0}$ gradient minimization publication-title: ACM Trans Graph doi: 10.1145/2070781.2024208 – ident: ref34 doi: 10.1109/CVPR.1999.786966 – ident: ref32 doi: 10.1109/TPAMI.2004.88 – ident: ref1 doi: 10.1109/TIP.2016.2639450 – ident: ref39 doi: 10.1109/ICCVW.2017.356 – year: 2017 ident: ref29 article-title: A reduced-reference color distortion metric for enhanced low-light images publication-title: Proc Vis Commun Image Process (VCIP) – ident: ref56 doi: 10.1109/ICME.2017.8019529 – year: 1989 ident: ref7 publication-title: Fundamentals of Digital Image Processing – ident: ref26 doi: 10.1109/TCYB.2015.2401732 – ident: ref11 doi: 10.1109/TCE.2003.1261234 – ident: ref19 doi: 10.1109/83.557356 – year: 2008 ident: ref6 publication-title: Digital Image Processing – volume: 23 start-page: 1856 year: 2013 ident: ref13 article-title: Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients publication-title: Digit Signal Process doi: 10.1016/j.dsp.2013.06.002 – volume: 27 start-page: 69:1 year: 2008 ident: ref28 article-title: Dynamic range independent image quality assessment publication-title: ACM Trans Graph doi: 10.1145/1360612.1360668 – ident: ref37 doi: 10.1109/TIP.2017.2651366 – ident: ref14 doi: 10.1016/j.jvcir.2016.11.001 – ident: ref36 doi: 10.1109/83.855434 – ident: ref44 doi: 10.1109/CVPR.2005.128 – ident: ref18 doi: 10.1109/ICIP.2015.7351501 – ident: ref38 doi: 10.1109/ICASSP.2016.7471978 – ident: ref47 doi: 10.1145/3150165.3150170 – ident: ref15 doi: 10.1016/j.patcog.2016.06.008 – ident: ref10 doi: 10.1109/TCE.2005.1561863 – ident: ref43 doi: 10.1109/TPAMI.2012.66 – ident: ref27 doi: 10.1109/LSP.2015.2487369 – ident: ref31 doi: 10.1364/AO.53.000082 – ident: ref35 doi: 10.1109/TPAMI.2003.1240119 |
| SSID | ssj0014847 |
| Score | 2.632031 |
| Snippet | Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 968 |
| SubjectTerms | Algorithms brightness transform function Camera response function Cameras Color Computer vision contrast enhancement Distortion Exposure Histograms Image color analysis Image enhancement Image quality Light Lighting low-light image enhancement Nonlinear distortion Parameter estimation Pixels |
| Title | LECARM: Low-Light Image Enhancement Using the Camera Response Model |
| URI | https://ieeexplore.ieee.org/document/8340778 https://www.proquest.com/docview/2203399549 |
| Volume | 29 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV07T8MwED5BJxh4IwoFeWCDFDtxUoetiooAtQxQEFtkO7aQKC2CVEj8enxOWvESYstgO5bv7LvPvvsO4FBwnkapZEHCqXUAhcpAOMMdaGQ3N1ooQTEbeXCVnN_yy_v4fgGO57kwxhgffGba-Onf8ouJnuJV2YmIHPzoiEVYdMCtytWavxhw4YuJOXeBub-xeJYgQ9OTYXZzN8QoLtFGgME4-2KEfFWVH0exty9nqzCYzawKK3lsT0vV1u_fSBv_O_U1WKkdTdKtNGMdFsx4A5Y_0Q9uQtbvZd3rwSnpT96CPqJ0cvHkzhfSGz-gMuCQxMcUEOcmkkziBRa5rqJqDcEyaqMtuD3rDbPzoC6qEOgwjctAK4fYdBFrpm1iuY1U4axXYWzEO5RZKVOtdVxI6xwHFkupQmqpcxoc7lCh4iLahsZ4MjY7QCKGFMcdy42MuEyQ5zopnFEsYqYVlaYJbLbKua4Zx7HwxSj3yIOmuZdMjpLJa8k04Wje57ni2_iz9SYu9bxlvcpNaM2Emddb8jUPQxphHi9Pd3_vtQdLbuy0CstpQaN8mZp953GU6sCr2geRQc79 |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PT9swFH5icGA7sEGZ1g02H7hBWjtxUmc3FLUqLOVQWtRbZDu2JgHtNFIh7a_Hz0krBghxy8G_5Pfi9z77ve8BHAnO0yiVLEg4tQ6gUBkIZ7gDjezmRgslKGYjjy6S4ZSfz-LZBpysc2GMMT74zHTw07_llwu9xKuyrogc_OiJd7AVYzJuna21fjPgwpcTcw4Dc_OxeJUiQ9PuJLu8mmAcl-ggxGCc_WeGfF2VZ4extzCDjzBara0OLLnuLCvV0f-e0Da-dfGfYKdxNclprRu7sGHme_DhEQFhC7K8n52ORz9JvrgPcsTp5OzWnTCkP_-N6oBDEh9VQJyjSDKJV1hkXMfVGoKF1G72YTroT7Jh0JRVCHSYxlWglcNsuow10zax3EaqdParNDbiPcqslKnWOi6lda4Di6VUIbXUuQ0OeahQcRF9hs35Ym6-AIkYkhz3LDcy4jJBpuukdGaxjJlWVJo2sNUuF7rhHMfSFzeFxx40LbxkCpRM0UimDcfrPn9qxo1XW7dwq9ctm11uw8FKmEXzU94VYUgjzOTl6deXe_2A7eFklBf52cWvb_DezZPWQToHsFn9XZpD539U6rtXuweIqdJF |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=LECARM%3A+Low-Light+Image+Enhancement+Using+the+Camera+Response+Model&rft.jtitle=IEEE+transactions+on+circuits+and+systems+for+video+technology&rft.au=Ren%2C+Yurui&rft.au=Ying%2C+Zhenqiang&rft.au=Li%2C+Thomas+H.&rft.au=Li%2C+Ge&rft.date=2019-04-01&rft.pub=IEEE&rft.issn=1051-8215&rft.volume=29&rft.issue=4&rft.spage=968&rft.epage=981&rft_id=info:doi/10.1109%2FTCSVT.2018.2828141&rft.externalDocID=8340778 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1051-8215&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1051-8215&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1051-8215&client=summon |