{"id":"https://openalex.org/W1990738179","doi":"https://doi.org/10.5244/c.21.83","title":"A Practical Approach for Super-Resolution using Photometric cue and Graph Cuts","display_name":"A Practical Approach for Super-Resolution using Photometric cue and Graph Cuts","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1990738179","doi":"https://doi.org/10.5244/c.21.83","mag":"1990738179"},"language":"en","primary_location":{"id":"doi:10.5244/c.21.83","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.21.83","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2007","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115599155","display_name":"S. Sharma","orcid":"https://orcid.org/0000-0002-2037-2325"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sharma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101917213","display_name":"Manjunath V. Joshi","orcid":"https://orcid.org/0000-0002-1842-9118"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. V. Joshi","raw_affiliation_strings":["[Dhirubhai Ambani Institute of Information and Communication Technology]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Dhirubhai Ambani Institute of Information and Communication Technology]","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2628,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41656818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"83.1","last_page":"83.10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7539830207824707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6977030634880066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6588189005851746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6259263753890991},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.5966190695762634},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.49761417508125305},{"id":"https://openalex.org/keywords/discontinuity","display_name":"Discontinuity (linguistics)","score":0.4891827404499054},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.482954204082489},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4446050524711609},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4380652904510498},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42240530252456665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3463854193687439},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2073531150817871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19669854640960693},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.19330644607543945},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.076561838388443}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7539830207824707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977030634880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588189005851746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6259263753890991},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.5966190695762634},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.49761417508125305},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.4891827404499054},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.482954204082489},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4446050524711609},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4380652904510498},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42240530252456665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3463854193687439},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2073531150817871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19669854640960693},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19330644607543945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.076561838388443},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5244/c.21.83","is_oa":false,"landing_page_url":"https://doi.org/10.5244/c.21.83","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1589189156","https://openalex.org/W1781337833","https://openalex.org/W1836454392","https://openalex.org/W1996356993","https://openalex.org/W2047264196","https://openalex.org/W2055712725","https://openalex.org/W2057515888","https://openalex.org/W2087380704","https://openalex.org/W2101309634","https://openalex.org/W2105918852","https://openalex.org/W2113137767","https://openalex.org/W2138854065","https://openalex.org/W2143516773","https://openalex.org/W2156930033","https://openalex.org/W2585495174","https://openalex.org/W2987004640"],"related_works":["https://openalex.org/W2011317699","https://openalex.org/W2387690017","https://openalex.org/W2029983961","https://openalex.org/W2171149362","https://openalex.org/W2021544484","https://openalex.org/W2181395181","https://openalex.org/W2183780938","https://openalex.org/W2169282664","https://openalex.org/W1567641598","https://openalex.org/W2071060869"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,131],"propose":[4],"an":[5],"approach":[6,105],"to":[7,30,40,64,116],"obtain":[8],"super-resolved":[9,12],"image":[10],"and":[11,57,95],"depth":[13,69],"map":[14,78],"using":[15,22,84,133],"photometric":[16,134],"cue.":[17],"The":[18,33,100],"images":[19],"are":[20,28,98,132],"captured":[21],"different":[23],"light":[24,81],"source":[25,82],"positions":[26],"which":[27],"assumed":[29,39],"be":[31,41],"known.":[32],"surface":[34,88],"of":[35,91,102,140],"the":[36,45,74,85,103,117],"object":[37],"is":[38,106,111,137,143],"Lambertian.":[42],"We":[43,71],"model":[44],"high":[46,67,75,86],"resolution":[47,68,76,87],"structure":[48],"(surface":[49],"gradients)":[50],"as":[51,114,126,142],"a":[52,66],"Markov":[53],"Random":[54],"Field":[55],"(MRF)":[56],"use":[58,121],"graph":[59],"cuts":[60],"with":[61],"discontinuity":[62],"preservation":[63],"get":[65],"map.":[70],"then":[72],"reconstruct":[73],"intensity":[77],"for":[79],"each":[80],"position":[83],"gradients.":[89],"Results":[90],"experimentation":[92],"on":[93],"synthetic":[94],"real":[96],"data":[97],"presented.":[99],"advantage":[101],"proposed":[104],"that":[107,120],"its":[108],"time":[109],"complexity":[110],"much":[112],"less":[113],"compared":[115],"super-resolution":[118],"approaches":[119],"global":[122],"optimization":[123],"techniques":[124],"such":[125],"simulated":[127],"annealing.":[128],"Also,":[129],"since":[130],"cue,":[135],"there":[136],"no":[138],"need":[139],"registration":[141],"required":[144],"in":[145],"motion":[146],"based":[147],"approaches.":[148]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
