{"id":"https://openalex.org/W2603802957","doi":"https://doi.org/10.1109/icce.2017.7889217","title":"JPEG 2000 compression of unfocused light field images based on lenslet array slicing","display_name":"JPEG 2000 compression of unfocused light field images based on lenslet array slicing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2603802957","doi":"https://doi.org/10.1109/icce.2017.7889217","mag":"2603802957"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2017.7889217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889217","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 Consumer Electronics (ICCE)","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/A5005648551","display_name":"Cristian Perra","orcid":"https://orcid.org/0000-0002-1506-423X"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Cristian Perra","raw_affiliation_strings":["University of Cagliari, Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"University of Cagliari, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062776054","display_name":"Daniele Giusto","orcid":"https://orcid.org/0000-0002-6450-4609"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Giusto","raw_affiliation_strings":["University of Cagliari, Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"University of Cagliari, Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005648551"],"corresponding_institution_ids":["https://openalex.org/I172446870"],"apc_list":null,"apc_paid":null,"fwci":2.0935,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92586644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9969000220298767,"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/jpeg","display_name":"JPEG","score":0.769930899143219},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7692214846611023},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.7335983514785767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860398650169373},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6321302652359009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835493803024292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.579925537109375},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5658032298088074},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5584819912910461},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4859813153743744},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4839182496070862},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43523097038269043},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.31821900606155396},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2888707220554352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2178128957748413},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08904767036437988}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.769930899143219},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7692214846611023},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.7335983514785767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860398650169373},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6321302652359009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835493803024292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.579925537109375},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5658032298088074},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5584819912910461},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4859813153743744},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4839182496070862},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43523097038269043},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31821900606155396},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2888707220554352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2178128957748413},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08904767036437988},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icce.2017.7889217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2017.7889217","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 Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unica.it:11584/244514","is_oa":false,"landing_page_url":"http://hdl.handle.net/11584/244514","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1495116986","https://openalex.org/W2025336712","https://openalex.org/W2038680787","https://openalex.org/W2045169916","https://openalex.org/W2050038437","https://openalex.org/W2086257400","https://openalex.org/W2098872661","https://openalex.org/W2128268941","https://openalex.org/W2146082419","https://openalex.org/W2152990715","https://openalex.org/W2170171048","https://openalex.org/W2218866505","https://openalex.org/W2242511736","https://openalex.org/W2526321439","https://openalex.org/W2572593248","https://openalex.org/W2573777682","https://openalex.org/W6629572565","https://openalex.org/W6688395657","https://openalex.org/W6727594811"],"related_works":["https://openalex.org/W3081527322","https://openalex.org/W4385625475","https://openalex.org/W4386597149","https://openalex.org/W2151311198","https://openalex.org/W1999625740","https://openalex.org/W2023810505","https://openalex.org/W4247608232","https://openalex.org/W3121517563","https://openalex.org/W4248420839","https://openalex.org/W2976216445"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"algorithm":[4],"for":[5],"lossy":[6],"compression":[7,58],"of":[8,24,51,67,84,88],"unfocused":[9],"light":[10,15],"field":[11,16],"images.":[12],"The":[13,30,45],"raw":[14,26],"is":[17],"preprocessed":[18],"by":[19,39],"demosaicing,":[20],"devignetting":[21],"and":[22,37,62,70],"slicing":[23],"the":[25,40,49,52,56,78,85,89],"lenset":[27],"array":[28],"image.":[29],"slices":[31],"are":[32],"then":[33],"rearranged":[34],"in":[35,65],"tiles":[36],"compressed":[38],"standard":[41],"JPEG":[42,60,63],"2000":[43],"encoder.":[44],"experimental":[46],"analysis":[47],"compares":[48],"performance":[50],"proposed":[53,79],"method":[54,80],"against":[55],"direct":[57,82],"with":[59],"2000,":[61],"XR,":[64],"terms":[66],"BD-PSNR":[68],"gain":[69],"bit":[71],"rate":[72],"reduction.":[73],"Obtained":[74],"results":[75],"show":[76],"that":[77],"outperforms":[81],"application":[83],"reference":[86],"state":[87],"art":[90],"image":[91],"encoders.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}