{"id":"https://openalex.org/W2792581619","doi":"https://doi.org/10.1109/icip.2017.8297035","title":"Lenslet image compression using adaptive macropixel prediction","display_name":"Lenslet image compression using adaptive macropixel prediction","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792581619","doi":"https://doi.org/10.1109/icip.2017.8297035","mag":"2792581619"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5101012772","display_name":"Haixu Han","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haixu Han","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023967844","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0001-6655-3888"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab of Broadband Network and Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101012772"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66302223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4008","last_page":"4012"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7669380903244019},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.7559422254562378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260908842086792},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6157573461532593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5867418646812439},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4939630627632141},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4669671356678009},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4657135009765625},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4365946054458618},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.42966049909591675},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.429210901260376},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.41938620805740356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3933729827404022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28503310680389404},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22313082218170166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16762542724609375},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08057713508605957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669380903244019},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7559422254562378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260908842086792},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6157573461532593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5867418646812439},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4939630627632141},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4669671356678009},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4657135009765625},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4365946054458618},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.42966049909591675},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.429210901260376},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.41938620805740356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3933729827404022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28503310680389404},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22313082218170166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16762542724609375},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08057713508605957},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336642","display_name":"Guangdong Special Support Plan","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W993862674","https://openalex.org/W1537121118","https://openalex.org/W2101700394","https://openalex.org/W2128268941","https://openalex.org/W2146395539","https://openalex.org/W2249152912","https://openalex.org/W2290889768","https://openalex.org/W2294163883","https://openalex.org/W2295115106","https://openalex.org/W2296319761","https://openalex.org/W2574534691"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2772846670","https://openalex.org/W2112852877","https://openalex.org/W2034796835","https://openalex.org/W3188631569"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"efficient":[4],"compression":[5],"method":[6,33,124],"is":[7,99],"proposed":[8,54,74,123],"for":[9,16],"lenslet":[10,36],"images":[11],"captured":[12],"by":[13,48,90,101],"plenoptic":[14],"cameras":[15],"recording":[17],"the":[18,35,49,53,61,87,92,103,107,114,122],"spatial":[19,64,70],"and":[20,40,46,80,110],"angular":[21],"light":[22],"information":[23],"at":[24],"a":[25,29,38],"super-high-resolution.":[26],"After":[27],"applying":[28],"reversible":[30],"image":[31,42],"reshaping":[32],"to":[34,85,132],"image,":[37],"reshaped":[39],"regularized":[41],"will":[43],"be":[44],"generated":[45],"compressed":[47],"video":[50],"codec":[51],"comprising":[52],"adaptive":[55],"macropixel":[56,115],"prediction":[57,71,78,83,98],"mode.":[58],"Based":[59],"on":[60,129],"analysis":[62],"of":[63,127],"correlations":[65],"among":[66],"adjacent":[67],"macropixels,":[68],"two":[69],"modes":[72],"are":[73],"as:":[75],"multi-block":[76,96],"weighted":[77,97],"mode":[79],"co-located":[81,111],"single-block":[82],"mode,":[84],"predict":[86],"coding":[88,93,108,138],"unit":[89,109],"minimizing":[91,102],"cost.":[94],"The":[95],"formulated":[100],"Euclidean":[104],"distance":[105],"between":[106],"blocks":[112],"in":[113],"structure.":[116],"Performance":[117],"evaluations":[118],"have":[119],"shown":[120],"that":[121],"achieves":[125],"50.9%":[126],"bit-savings":[128],"average":[130],"compared":[131],"HEVC.":[133],"It":[134],"also":[135],"outperforms":[136],"state-of-the-art":[137],"methods":[139],"drastically.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
