{"id":"https://openalex.org/W2168856467","doi":"https://doi.org/10.1109/icip.2007.4380007","title":"Pattern-Based Error Recovery of Low Resolution Subbands in JPEG2000","display_name":"Pattern-Based Error Recovery of Low Resolution Subbands in JPEG2000","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2168856467","doi":"https://doi.org/10.1109/icip.2007.4380007","mag":"2168856467"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4380007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 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/A5014058642","display_name":"Alireza Aminlou","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Alireza Aminlou","raw_affiliation_strings":["Multimedia Processing Laboratory, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Multimedia Processing Laboratory, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052897301","display_name":"Nasim Hajari","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nasim Hajari","raw_affiliation_strings":["Multimedia Processing Laboratory, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Multimedia Processing Laboratory, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065113673","display_name":"Hossein Badakhshannoory","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Badakhshannoory","raw_affiliation_strings":["Multimedia Processing Laboratory, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Multimedia Processing Laboratory, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036640771","display_name":"Mahmoud Reza Hashemi","orcid":"https://orcid.org/0000-0002-3518-9195"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahmoud Reza Hashemi","raw_affiliation_strings":["Multimedia Processing Laboratory, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Multimedia Processing Laboratory, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072550379","display_name":"Omid Fatemi","orcid":"https://orcid.org/0000-0001-9654-0607"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Omid Fatemi","raw_affiliation_strings":["Multimedia Processing Laboratory, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Multimedia Processing Laboratory, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014058642"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.3246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65694791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":null,"first_page":"IV ","last_page":" 273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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-2000","display_name":"JPEG 2000","score":0.8510620594024658},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6914672255516052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.618122398853302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915647149085999},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5410235524177551},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5201588273048401},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.5134178400039673},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5043884515762329},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4767226278781891},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46341389417648315},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4432506859302521},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4415236711502075},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.4356757402420044},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.38437220454216003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33770161867141724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3209933638572693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30902695655822754},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3021286427974701},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20709070563316345},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.1911618411540985},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.17593896389007568},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13669690489768982},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09999099373817444}],"concepts":[{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.8510620594024658},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6914672255516052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.618122398853302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915647149085999},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5410235524177551},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5201588273048401},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.5134178400039673},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5043884515762329},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4767226278781891},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46341389417648315},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4432506859302521},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4415236711502075},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.4356757402420044},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.38437220454216003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33770161867141724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3209933638572693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30902695655822754},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3021286427974701},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20709070563316345},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1911618411540985},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.17593896389007568},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13669690489768982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09999099373817444},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4380007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4380007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image 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":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1514231092","https://openalex.org/W1537211277","https://openalex.org/W1964200283","https://openalex.org/W1985216274","https://openalex.org/W2117458116","https://openalex.org/W2149815901","https://openalex.org/W2152981638","https://openalex.org/W2161199351","https://openalex.org/W2170023599","https://openalex.org/W6630686686","https://openalex.org/W6677602082","https://openalex.org/W6683759950"],"related_works":["https://openalex.org/W2606703304","https://openalex.org/W2156812370","https://openalex.org/W2021359362","https://openalex.org/W2896396344","https://openalex.org/W2334868581","https://openalex.org/W2261861227","https://openalex.org/W2122426013","https://openalex.org/W1518183793","https://openalex.org/W2105636713","https://openalex.org/W1597651427"],"abstract_inverted_index":{"Digital":[0],"image":[1],"transmission":[2],"is":[3,21],"widely":[4],"used":[5],"in":[6,47,74,82,90],"consumer":[7],"products,":[8],"such":[9,29],"as":[10,30],"digital":[11],"cameras":[12],"and":[13,40,97],"cellular":[14],"phones,":[15],"where":[16],"low":[17,25],"bit":[18,26],"rate":[19,27],"coding":[20],"required.":[22],"In":[23,57],"any":[24],"encoder,":[28],"the":[31,37,68,75,87,94,105],"JPEG2000":[32,84],"standard,":[33],"data":[34,41,88,117],"truncation":[35],"(during":[36,43],"encoding":[38],"process),":[39],"loss":[42],"transmission)":[44],"will":[45,51],"result":[46],"lost":[48],"bit-planes,":[49],"which":[50,66],"be":[52],"normally":[53],"replaced":[54],"by":[55],"zeros.":[56],"this":[58],"paper":[59],"a":[60,79,83],"new":[61],"algorithm":[62,107],"has":[63],"been":[64],"proposed,":[65],"recovers":[67],"lost/truncated":[69],"lower":[70],"bit-planes":[71,92],"of":[72,78,93],"coefficients":[73],"LL":[76],"subband":[77],"wavelet":[80],"transform":[81],"stream":[85],"using":[86],"available":[89],"higher":[91],"same":[95],"coefficient":[96],"its":[98],"eight":[99],"neighbors.":[100],"Simulation":[101],"results":[102],"indicate":[103],"that":[104],"proposed":[106],"achieves":[108],"5.40-8.77":[109],"dB":[110],"improvement":[111],"with":[112],"respect":[113],"to":[114],"zero":[115],"filling":[116],"recovery":[118],"method.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}