{"id":"https://openalex.org/W2172142874","doi":"https://doi.org/10.1109/mmsp.2008.4665086","title":"Distributed image coding based on integrated Markov random field modeling and LDPC decoding","display_name":"Distributed image coding based on integrated Markov random field modeling and LDPC decoding","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2172142874","doi":"https://doi.org/10.1109/mmsp.2008.4665086","mag":"2172142874"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2008.4665086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal 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/A5102010368","display_name":"Jinrong Zhang","orcid":"https://orcid.org/0009-0009-5309-1042"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrong Zhang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Li","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002277899","display_name":"Chang Wen Chen","orcid":"https://orcid.org/0000-0002-6720-234X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Wen Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.0176,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8001604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11321","display_name":"Error Correcting Code Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9951000213623047,"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/markov-chain","display_name":"Markov chain","score":0.709959089756012},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.6556642055511475},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6067244410514832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010013818740845},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5771560668945312},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.5451996326446533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5191540122032166},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.49552714824676514},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.42707139253616333},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38851267099380493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32488811016082764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2548820972442627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21594193577766418},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2087704837322235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17194998264312744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11012083292007446}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.709959089756012},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.6556642055511475},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6067244410514832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010013818740845},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5771560668945312},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.5451996326446533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5191540122032166},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.49552714824676514},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.42707139253616333},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38851267099380493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32488811016082764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2548820972442627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21594193577766418},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2087704837322235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17194998264312744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11012083292007446}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2008.4665086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2008.4665086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1557677941","https://openalex.org/W2020999234","https://openalex.org/W2039182392","https://openalex.org/W2097965324","https://openalex.org/W2099213070","https://openalex.org/W2108539424","https://openalex.org/W2113523782","https://openalex.org/W2118375162","https://openalex.org/W2131685675","https://openalex.org/W2135764410","https://openalex.org/W2139519968","https://openalex.org/W2150412388","https://openalex.org/W6633326317","https://openalex.org/W6674927401"],"related_works":["https://openalex.org/W4233015508","https://openalex.org/W987019958","https://openalex.org/W3126873283","https://openalex.org/W2099971354","https://openalex.org/W2393621008","https://openalex.org/W2540690809","https://openalex.org/W2129435535","https://openalex.org/W2353273130","https://openalex.org/W3022014775","https://openalex.org/W2100055350"],"abstract_inverted_index":{"We":[0],"present":[1],"in":[2,57,76],"this":[3,90,116,133],"paper":[4],"a":[5,30,84,97,148],"novel":[6],"distributed":[7],"image":[8,13,95],"coding":[9],"scheme":[10],"by":[11,83,102,151],"exploiting":[12],"spatial":[14],"correlation":[15,160],"via":[16,96],"Markov":[17,53,79,98,117,130,136],"random":[18,54,99],"field":[19,55,100],"modeling":[20,56],"at":[21,71],"the":[22,47,78,94,127,158],"decoding":[23,51],"end.":[24],"This":[25],"allows":[26],"us":[27],"to":[28,59,113,122,141,153],"design":[29],"simple":[31],"yet":[32],"efficient":[33,39],"encoder":[34],"suitable":[35],"for":[36],"various":[37],"energy":[38],"imaging":[40],"sensor":[41],"network":[42],"applications.":[43],"The":[44,67],"novelty":[45],"is":[46,120,138,161],"integration":[48],"of":[49],"LDPC":[50],"and":[52,64,107],"order":[58],"jointly":[60],"exploit":[61],"both":[62],"inter-image":[63],"intra-image":[65],"correlation.":[66],"current":[68],"research":[69],"aims":[70],"improving":[72],"our":[73],"previous":[74],"work":[75],"which":[77],"model":[80,93,137],"was":[81],"defined":[82],"state":[85],"transition":[86],"probability":[87],"matrix.":[88],"In":[89],"research,":[91],"we":[92],"described":[101],"Gibbs":[103],"distribution.":[104],"Both":[105],"analysis":[106],"simulations":[108],"have":[109],"been":[110],"carried":[111],"out":[112],"demonstrate":[114],"that":[115],"model-based":[118],"approach":[119,145],"able":[121],"achieve":[123],"significant":[124],"gains":[125],"over":[126],"schemes":[128],"without":[129],"modeling.":[131],"Furthermore,":[132],"new":[134],"Gibbs-based":[135],"less":[139],"sensitive":[140],"correlated":[142],"noise.":[143],"Our":[144],"also":[146],"outperforms":[147],"JPEG":[149],"codec":[150],"up":[152],"4":[154],"dB":[155],"even":[156],"if":[157],"interimage":[159],"not":[162],"very":[163],"high.":[164]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}