{"id":"https://openalex.org/W4402916457","doi":"https://doi.org/10.1109/icip51287.2024.10647296","title":"Intrinsic Image Decomposition Based on Quantized Prior Codebook","display_name":"Intrinsic Image Decomposition Based on Quantized Prior Codebook","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916457","doi":"https://doi.org/10.1109/icip51287.2024.10647296"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5034631331","display_name":"Fangzheng Yuan","orcid":"https://orcid.org/0000-0001-6329-8383"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzheng Yuan","raw_affiliation_strings":["Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051764820","display_name":"Zetao Jiang","orcid":"https://orcid.org/0000-0002-0914-2131"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Jiang","raw_affiliation_strings":["Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101536090","display_name":"Xiaoyi Feng","orcid":"https://orcid.org/0000-0002-0428-6224"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Feng","raw_affiliation_strings":["Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest Polytechnical University,Department of Electronic Information,Xi&#x2019;an,China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Tampere University,Department of Computer Science,Tampere,Finland,33101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University,Department of Computer Science,Tampere,Finland,33101","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14939589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1534","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9835000038146973,"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":0.9835000038146973,"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":0.9801999926567078,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9527000188827515,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8719238042831421},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6661354303359985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5497534275054932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955998659133911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48532289266586304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3988367021083832},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08238905668258667}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8719238042831421},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6661354303359985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5497534275054932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955998659133911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48532289266586304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3988367021083832},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08238905668258667},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W2002193550","https://openalex.org/W2027560260","https://openalex.org/W2076491823","https://openalex.org/W2087257250","https://openalex.org/W2113404166","https://openalex.org/W2193045528","https://openalex.org/W2567309586","https://openalex.org/W2798282242","https://openalex.org/W2952972288","https://openalex.org/W3035212293","https://openalex.org/W4292265354","https://openalex.org/W4389104841","https://openalex.org/W6745930153"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Intrinsic":[0],"image":[1,6,35,39,109],"decomposition":[2],"is":[3,118],"a":[4,61,81],"low-level":[5],"processing":[7],"task":[8],"that":[9,68],"extracts":[10],"the":[11,23,50,70,89,100,104,107,116],"reflectance":[12],"and":[13,34,52,95],"lighting":[14],"components":[15],"from":[16,88],"an":[17],"image.":[18],"This":[19,58],"process":[20],"can":[21],"improve":[22],"illumination":[24],"robustness":[25],"of":[26,72,103,115],"perception":[27],"tasks,":[28],"such":[29],"as":[30],"object":[31],"detection,":[32],"recognition,":[33],"understanding.":[36],"Recently,":[37],"deep":[38],"generation":[40],"frameworks":[41],"have":[42],"been":[43],"used":[44],"to":[45,84,98],"generate":[46],"intrinsic":[47,66,73,101],"images.":[48,74],"However,":[49],"encoder":[51],"decoder":[53],"lack":[54],"prior":[55],"knowledge":[56],"constraints.":[57],"paper":[59],"presents":[60],"quantized":[62],"codebook":[63,105],"for":[64,111],"embedding":[65],"features":[67,102,110],"guide":[69],"extraction":[71],"To":[75],"enhance":[76],"reconstruction":[77],"accuracy,":[78],"we":[79,92],"propose":[80,93],"purification":[82],"method":[83],"eliminate":[85],"irrelevant":[86],"elements":[87],"codebook.":[90],"Additionally,":[91],"self-attention":[94],"cross-attention":[96],"modules":[97],"integrate":[99],"into":[106],"input":[108],"reconstruction.":[112],"The":[113],"effectiveness":[114],"algorithm":[117],"demonstrated":[119],"through":[120],"experiments":[121],"conducted":[122],"on":[123],"several":[124],"popular":[125],"datasets.":[126]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
