{"id":"https://openalex.org/W1984319860","doi":"https://doi.org/10.1002/ima.1850060405","title":"Pixon\u2010based multiresolution image reconstruction and the quantification of picture information content","display_name":"Pixon\u2010based multiresolution image reconstruction and the quantification of picture information content","publication_year":1995,"publication_date":"1995-12-01","ids":{"openalex":"https://openalex.org/W1984319860","doi":"https://doi.org/10.1002/ima.1850060405","mag":"1984319860"},"language":"en","primary_location":{"id":"doi:10.1002/ima.1850060405","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850060405","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-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/A5018072700","display_name":"R. C. Puetter","orcid":"https://orcid.org/0000-0002-2291-655X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. C. Puetter","raw_affiliation_strings":["Center for Astrophysics and Space Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093\u20130111","Center for Astrophysics and Space Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0111"],"affiliations":[{"raw_affiliation_string":"Center for Astrophysics and Space Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093\u20130111","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Center for Astrophysics and Space Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0111","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018072700"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":6.3998,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.9651445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"4","first_page":"314","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9979000091552734,"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":0.9979000091552734,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.6447418928146362},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6200454831123352},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.5724251866340637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5608841180801392},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5276904106140137},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5234082341194153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5010495185852051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45288869738578796},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4346637725830078},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.43267661333084106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4294431805610657},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.42394939064979553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3607172966003418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1649676263332367}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.6447418928146362},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6200454831123352},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.5724251866340637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608841180801392},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5276904106140137},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5234082341194153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5010495185852051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45288869738578796},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4346637725830078},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.43267661333084106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4294431805610657},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.42394939064979553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3607172966003418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1649676263332367},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1002/ima.1850060405","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850060405","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.140.8906","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.8906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.pixon.com/publications/Puetter_95_IJIST6.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.551","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://casswww.ucsd.edu/personal/puetter/95ijist/95ijist.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W66486251","https://openalex.org/W147878758","https://openalex.org/W171686316","https://openalex.org/W179344782","https://openalex.org/W393544460","https://openalex.org/W1536407843","https://openalex.org/W1543893433","https://openalex.org/W1550423905","https://openalex.org/W1560502602","https://openalex.org/W1604368416","https://openalex.org/W1610388015","https://openalex.org/W1628007715","https://openalex.org/W1854173359","https://openalex.org/W1865696867","https://openalex.org/W1901997361","https://openalex.org/W1914417315","https://openalex.org/W1964540854","https://openalex.org/W1967219372","https://openalex.org/W1969678783","https://openalex.org/W1979165330","https://openalex.org/W1982812922","https://openalex.org/W1983148021","https://openalex.org/W1986339863","https://openalex.org/W1989912252","https://openalex.org/W1993331960","https://openalex.org/W2003784072","https://openalex.org/W2004771833","https://openalex.org/W2006987925","https://openalex.org/W2015603744","https://openalex.org/W2019042019","https://openalex.org/W2022734147","https://openalex.org/W2024802184","https://openalex.org/W2026916581","https://openalex.org/W2029683622","https://openalex.org/W2032835894","https://openalex.org/W2035750250","https://openalex.org/W2038738468","https://openalex.org/W2043603973","https://openalex.org/W2045353656","https://openalex.org/W2057732479","https://openalex.org/W2058815839","https://openalex.org/W2060020232","https://openalex.org/W2061244006","https://openalex.org/W2064902143","https://openalex.org/W2066856021","https://openalex.org/W2077700304","https://openalex.org/W2081750957","https://openalex.org/W2105445293","https://openalex.org/W2107316547","https://openalex.org/W2111172817","https://openalex.org/W2113896103","https://openalex.org/W2118519446","https://openalex.org/W2126458720","https://openalex.org/W2135625884","https://openalex.org/W2138329706","https://openalex.org/W2147399030","https://openalex.org/W2147424855","https://openalex.org/W2151652976","https://openalex.org/W2154462988","https://openalex.org/W2157826124","https://openalex.org/W2168638869","https://openalex.org/W2168884909","https://openalex.org/W2170309630","https://openalex.org/W2175694974","https://openalex.org/W2404999971","https://openalex.org/W2432517183","https://openalex.org/W2547438229","https://openalex.org/W2990605254","https://openalex.org/W2998088478","https://openalex.org/W3108441417","https://openalex.org/W4213350211","https://openalex.org/W4239882006","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1566728629","https://openalex.org/W2617987378","https://openalex.org/W1502087262","https://openalex.org/W3187368641","https://openalex.org/W2626271282","https://openalex.org/W3122388856","https://openalex.org/W1946191587","https://openalex.org/W2088726129","https://openalex.org/W1998988312","https://openalex.org/W2509820422"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"article":[2],"reviews":[3],"pixon\u2010based":[4,73],"image":[5,58,74,162],"reconstruction,":[6],"which":[7],"in":[8,145],"its":[9,30],"current":[10],"formulation":[11],"uses":[12],"a":[13,36,68,121,149,157],"multiresolution":[14],"language":[15],"to":[16,55,80,99,104,132],"quantify":[17],"an":[18,40,44],"image's":[19,41,45],"algorithmic":[20],"information":[21,33,126],"content":[22],"(AIC)":[23],"using":[24],"Bayesian":[25],"techniques.":[26],"Each":[27],"pixon":[28,46,119],"(or":[29],"generalization,":[31],"the":[32,49,57,60,63,105,118,124,138,141],")":[34],"represents":[35,48,156],"fundamental":[37],"quanta":[38],"of":[39,52,62,70,107,123,134,140],"AIC,":[42],"and":[43,87,102,110,128,137,155],"basis":[47,160],"minimum":[50],"degrees":[51],"freedom":[53],"necessary":[54],"describe":[56],"within":[59],"accuracy":[61],"noise.":[64],"We":[65],"demonstrate":[66],"with":[67],"number":[69],"examples":[71],"that":[72],"reconstruction":[75,165],"yields":[76],"results":[77],"consistently":[78],"superior":[79],"popular":[81],"competing":[82],"methods,":[83],"including":[84],"maximum":[85,88],"likelihood":[86],"entropy":[89],"methods.":[90],"Typical":[91],"improvements":[92],"include":[93],"higher":[94],"spatial":[95],"resolution,":[96],"greater":[97],"sensitivity":[98],"faint":[100],"sources,":[101],"immunity":[103],"production":[106],"spurious":[108],"sources":[109],"signal":[111],"correlated":[112],"residuals.":[113],"Finally,":[114],"we":[115],"show":[116],"how":[117,129],"provides":[120,148],"generalization":[122],"Akaike":[125],"criterion,":[127],"it":[130],"relates":[131],"concepts":[133],"\u201ccoarse":[135],"graining\u201d":[136],"role":[139],"Heisenberg":[142],"uncertainly":[143],"principle":[144],"statistical":[146],"mechanics,":[147],"mechanism":[150],"for":[151,161],"optimal":[152,159],"data":[153],"compression,":[154],"more":[158],"compression":[163],"or":[164],"than":[166],"wavelets.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}