{"id":"https://openalex.org/W4415708368","doi":"https://doi.org/10.1109/icme59968.2025.11210152","title":"Pixel-wise Single Image Reflection Removal Method Based on Reinforcement Learning","display_name":"Pixel-wise Single Image Reflection Removal Method Based on Reinforcement Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708368","doi":"https://doi.org/10.1109/icme59968.2025.11210152"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5086524357","display_name":"Yucheng Wang","orcid":"https://orcid.org/0009-0000-7612-0285"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yucheng Wang","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047270197","display_name":"Xiang Yu","orcid":"https://orcid.org/0000-0001-6019-7405"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshi Yu","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034975650","display_name":"Zheng-Zhe Zhang","orcid":"https://orcid.org/0000-0003-4907-9058"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzhe Zhang","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081796777","display_name":"Xiankai Lu","orcid":"https://orcid.org/0000-0002-9543-6960"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiankai Lu","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068607581","display_name":"Qian Zheng","orcid":"https://orcid.org/0000-0003-3968-3622"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zheng","raw_affiliation_strings":["Zhejiang University,The State Key Lab of Brain-Machine Intelligence,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,The State Key Lab of Brain-Machine Intelligence,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007714452","display_name":"Wenjia Meng","orcid":"https://orcid.org/0000-0002-5784-7187"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjia Meng","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086524357"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31068139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.871999979019165,"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/T11019","display_name":"Image Enhancement Techniques","score":0.871999979019165,"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":0.038100000470876694,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/reflection","display_name":"Reflection (computer programming)","score":0.8379999995231628},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6219000220298767},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5612999796867371},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5270000100135803},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5047000050544739},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4296000003814697}],"concepts":[{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.8379999995231628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7364000082015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7081999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288999915122986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6219000220298767},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5612999796867371},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4296000003814697},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3758000135421753},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.3278999924659729},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1918869474","https://openalex.org/W1948751323","https://openalex.org/W1980212291","https://openalex.org/W2133665775","https://openalex.org/W2156958044","https://openalex.org/W2738318237","https://openalex.org/W2779896560","https://openalex.org/W2798966709","https://openalex.org/W2951360122","https://openalex.org/W2963608065","https://openalex.org/W2963676366","https://openalex.org/W2982389402","https://openalex.org/W2996678997","https://openalex.org/W2997314266","https://openalex.org/W3008354258","https://openalex.org/W3009447447","https://openalex.org/W3034647178","https://openalex.org/W3035209350","https://openalex.org/W3035227126","https://openalex.org/W3162405170","https://openalex.org/W3173090543","https://openalex.org/W3180940425","https://openalex.org/W4285129685","https://openalex.org/W4360930410","https://openalex.org/W4377715550","https://openalex.org/W4390873946","https://openalex.org/W4402299658","https://openalex.org/W4402698356"],"related_works":[],"abstract_inverted_index":{"Single":[0],"image":[1,9,14,38,50,63,73,89,116],"reflection":[2,15,20,39,51,64,74,117],"removal":[3,16,40,52,75,118],"is":[4],"particularly":[5],"important":[6],"in":[7,21],"improving":[8],"quality.":[10],"However,":[11],"existing":[12],"single":[13,37,62,72,115],"methods":[17],"cannot":[18],"remove":[19,60],"a":[22,35,55],"pixel-by-pixel":[23],"manner,":[24],"significantly":[25],"reducing":[26],"their":[27],"effectiveness.":[28],"To":[29],"address":[30],"this":[31],"issue,":[32],"we":[33,47,100],"propose":[34],"pixel-wise":[36],"method":[41,76,112],"based":[42],"on":[43,103],"reinforcement":[44,85],"learning.":[45],"Specifically,":[46],"formalize":[48],"the":[49,61,71,84,107],"process":[53,58],"as":[54],"sequential":[56],"decision-making":[57],"and":[59,95,106],"pixel":[65],"by":[66],"pixel.":[67],"We":[68,81],"first":[69],"introduce":[70],"at":[77],"each":[78],"time":[79],"step.":[80],"then":[82],"describe":[83],"learning":[86],"setup":[87],"for":[88],"reflection,":[90],"including":[91],"state,":[92],"action,":[93],"reward,":[94],"agent":[96],"network":[97],"design.":[98],"Finally,":[99],"conducted":[101],"experiments":[102],"benchmark":[104],"datasets,":[105],"results":[108],"show":[109],"that":[110],"our":[111],"outperforms":[113],"other":[114],"methods.":[119]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}