{"id":"https://openalex.org/W2024803192","doi":"https://doi.org/10.1109/icip.2014.7026140","title":"Lossless image compression using causal block matching and 3D collaborative filtering","display_name":"Lossless image compression using causal block matching and 3D collaborative filtering","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2024803192","doi":"https://doi.org/10.1109/icip.2014.7026140","mag":"2024803192"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5050585561","display_name":"Robert W. Crandall","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Crandall","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052133103","display_name":"Ali Bilgin","orcid":"https://orcid.org/0000-0003-4196-4036"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Bilgin","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"5636","last_page":"5640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9997000098228455,"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/lossless-compression","display_name":"Lossless compression","score":0.807847797870636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970245838165283},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.6772482395172119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499625444412231},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6054840087890625},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6022318005561829},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.5828254222869873},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5723469853401184},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.5558204650878906},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5311918258666992},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5079982876777649},{"id":"https://openalex.org/keywords/predictive-coding","display_name":"Predictive coding","score":0.44226551055908203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41042324900627136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.407291054725647},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.3617442846298218},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3238946795463562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2659953236579895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2262689471244812},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2022992968559265},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07299163937568665}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.807847797870636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970245838165283},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.6772482395172119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499625444412231},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6054840087890625},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6022318005561829},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.5828254222869873},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5723469853401184},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.5558204650878906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5311918258666992},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5079982876777649},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.44226551055908203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41042324900627136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.407291054725647},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3617442846298218},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3238946795463562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2659953236579895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2262689471244812},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2022992968559265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07299163937568665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7026140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1996856541","https://openalex.org/W1998419211","https://openalex.org/W2006262236","https://openalex.org/W2038292149","https://openalex.org/W2044810215","https://openalex.org/W2056370875","https://openalex.org/W2096445898","https://openalex.org/W2097073572","https://openalex.org/W2118217749","https://openalex.org/W2137577808","https://openalex.org/W2140129192","https://openalex.org/W2149874402","https://openalex.org/W2153638435","https://openalex.org/W2170565466","https://openalex.org/W2966156373","https://openalex.org/W3123837026","https://openalex.org/W4302366751","https://openalex.org/W6649247925","https://openalex.org/W6674723063","https://openalex.org/W6680683657","https://openalex.org/W6685356476"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2359633702","https://openalex.org/W2140617750"],"abstract_inverted_index":{"Predictive":[0],"coding":[1],"has":[2],"proven":[3],"to":[4,91],"be":[5,42,92],"an":[6],"effective":[7,93],"method":[8,106],"for":[9,59],"lossless":[10],"image":[11,40,63,95],"compression.":[12,61],"In":[13],"predictive":[14],"coding,":[15,36],"untransmitted":[16],"pixels":[17,23],"are":[18,31],"predicted":[19],"based":[20],"on":[21,67],"the":[22,27,38,46,52,55,70,104],"already":[24],"available":[25],"at":[26,45],"decoder.":[28,47],"Prediction":[29],"errors":[30],"then":[32],"compressed":[33],"by":[34],"entropy":[35,53],"and":[37,97],"original":[39],"can":[41],"reconstructed":[43],"exactly":[44],"More":[48],"accurate":[49],"prediction":[50,56,64],"decreases":[51],"of":[54,74],"error,":[57],"allowing":[58],"increased":[60],"Conventional":[62],"methods":[65],"rely":[66],"information":[68],"from":[69],"immediate":[71],"local":[72],"neighborhood":[73],"each":[75],"pixel.":[76],"We":[77],"introduce":[78],"a":[79],"novel":[80],"predictor":[81],"that":[82,103],"leverages":[83],"non-local":[84],"structural":[85],"similarities":[86],"which":[87],"have":[88],"been":[89],"shown":[90],"in":[94],"denoising":[96],"deblurring":[98],"applications.":[99],"Experimental":[100],"results":[101],"show":[102],"proposed":[105],"achieves":[107],"state-of-the-art":[108],"compression":[109],"performance.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}