{"id":"https://openalex.org/W2118444120","doi":"https://doi.org/10.1109/icip.2002.1038033","title":"The construction of a statistical prediction lifting operator and its application","display_name":"The construction of a statistical prediction lifting operator and its application","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2118444120","doi":"https://doi.org/10.1109/icip.2002.1038033","mag":"2118444120"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038033","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","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/A5114378292","display_name":"Hongliang Li","orcid":"https://orcid.org/0000-0002-7481-095X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071277762","display_name":"Guizhong Liu","orcid":"https://orcid.org/0000-0001-9149-4576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhong Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620579","display_name":"Yongli Li","orcid":"https://orcid.org/0000-0002-0114-9080"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060243128","display_name":"Xingsong Hou","orcid":"https://orcid.org/0000-0002-6082-0815"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingsong Hou","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electron and Information Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.5391,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69143288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"353"},"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":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5794526934623718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5583655834197998},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.533764123916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.525974452495575},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49277880787849426},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.49002254009246826},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44607946276664734},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.43897002935409546},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4347502589225769},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43024179339408875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4260247051715851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42444345355033875},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.40817907452583313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3992028534412384},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29178386926651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2685699462890625}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5794526934623718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5583655834197998},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.533764123916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.525974452495575},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49277880787849426},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49002254009246826},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44607946276664734},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43897002935409546},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4347502589225769},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43024179339408875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260247051715851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42444345355033875},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.40817907452583313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3992028534412384},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29178386926651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2685699462890625},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2002.1038033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038033","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1562607437","https://openalex.org/W1963679837","https://openalex.org/W1974581749","https://openalex.org/W1983939602","https://openalex.org/W1989222601","https://openalex.org/W2020919250","https://openalex.org/W2020999234","https://openalex.org/W2049348043","https://openalex.org/W2053691921","https://openalex.org/W2130630043","https://openalex.org/W2132934990","https://openalex.org/W2139797453","https://openalex.org/W2161856360","https://openalex.org/W4256117910"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W3210332869","https://openalex.org/W2461250372","https://openalex.org/W2521595930","https://openalex.org/W4313046148","https://openalex.org/W2161981399","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W3080614128","https://openalex.org/W4210455546"],"abstract_inverted_index":{"A":[0],"new":[1,120],"method":[2,121],"of":[3,16,64,110],"nonseparable":[4],"nonlinear":[5,48,130],"wavelet":[6,78],"decomposition":[7],"is":[8,11,25,33,122],"proposed,":[9],"which":[10,80],"suited":[12],"for":[13,20],"the":[14,38,46,52,65,85,95,108,111,114,128],"task":[15],"image":[17,86],"compression,":[18],"especially":[19],"lossless":[21],"coding":[22],"applications.":[23],"It":[24,71],"based":[26],"on":[27],"a":[28,101],"certain":[29],"statistical":[30,58,66],"operator":[31,59],"that":[32,107,125],"defined":[34],"here":[35],"according":[36],"to":[37,45,75],"Markov":[39],"random":[40],"field":[41],"theory.":[42],"In":[43],"contrast":[44],"previous":[47],"predictors":[49],"such":[50],"as":[51],"median":[53],"or":[54],"morphological":[55],"operators,":[56],"this":[57,119],"can":[60,72,81],"sufficiently":[61],"take":[62],"advantage":[63],"correlation":[67],"between":[68],"neighboring":[69],"pixels.":[70],"be":[73],"used":[74],"realize":[76],"integer-valued":[77],"transforms,":[79],"avoid":[82],"quantization":[83],"with":[84,118,127],"detail":[87],"signals":[88],"being":[89],"zero":[90],"(or":[91],"almost":[92],"zero)":[93],"in":[94,113],"smooth":[96],"gray-level":[97],"variation":[98],"areas":[99],"at":[100],"big":[102],"probability.":[103],"Numerical":[104],"results":[105],"show":[106],"entropy":[109],"coefficients":[112],"transform":[115,131],"domain":[116],"obtained":[117,126],"smaller":[123],"than":[124],"other":[129],"methods.":[132]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}