{"id":"https://openalex.org/W2782544928","doi":"https://doi.org/10.1504/ijamc.2017.10010320","title":"A new embedded image compression scheme using rate-distortion optimised block coding of wavelet coefficients","display_name":"A new embedded image compression scheme using rate-distortion optimised block coding of wavelet coefficients","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2782544928","doi":"https://doi.org/10.1504/ijamc.2017.10010320","mag":"2782544928"},"language":"en","primary_location":{"id":"doi:10.1504/ijamc.2017.10010320","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijamc.2017.10010320","pdf_url":null,"source":{"id":"https://openalex.org/S94275419","display_name":"International Journal of Advanced Media and Communication","issn_l":"1462-4613","issn":["1462-4613","1741-8003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Media and Communication","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/A5102262180","display_name":"Chang Mo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chang Mo Yang","raw_affiliation_strings":["Smart Media Research Center, Korea Electronics Technology Institute, 9FL, Electronics Center, #11, World cup buk-ro 54-gil, Mapo-gu, Seoul 121-835, Korea"],"affiliations":[{"raw_affiliation_string":"Smart Media Research Center, Korea Electronics Technology Institute, 9FL, Electronics Center, #11, World cup buk-ro 54-gil, Mapo-gu, Seoul 121-835, Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030905971","display_name":"Kwangsue Chung","orcid":"https://orcid.org/0000-0002-0283-0900"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwangsue Chung","raw_affiliation_strings":["Department of Communications Engineering, Kwangwoon University, 20, Gwangun-ro, Nowon-gu, Seoul 139-701, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Kwangwoon University, 20, Gwangun-ro, Nowon-gu, Seoul 139-701, Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102262180"],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1998955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"3","first_page":"181","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9968000054359436,"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/entropy-encoding","display_name":"Entropy encoding","score":0.632912278175354},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6141725778579712},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.611319899559021},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5842269062995911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837556719779968},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5775479674339294},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5227984189987183},{"id":"https://openalex.org/keywords/set-partitioning-in-hierarchical-trees","display_name":"Set partitioning in hierarchical trees","score":0.4937685430049896},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.46920815110206604},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.45438799262046814},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.45001593232154846},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.44397518038749695},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43128079175949097},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.41925477981567383},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4174922704696655},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.39356207847595215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3253440856933594},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27792251110076904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26212480664253235},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16606393456459045},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06808438897132874}],"concepts":[{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.632912278175354},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6141725778579712},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.611319899559021},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5842269062995911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837556719779968},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5775479674339294},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5227984189987183},{"id":"https://openalex.org/C136968285","wikidata":"https://www.wikidata.org/wiki/Q3246374","display_name":"Set partitioning in hierarchical trees","level":5,"score":0.4937685430049896},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.46920815110206604},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.45438799262046814},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.45001593232154846},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.44397518038749695},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43128079175949097},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.41925477981567383},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4174922704696655},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.39356207847595215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3253440856933594},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27792251110076904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26212480664253235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16606393456459045},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06808438897132874},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijamc.2017.10010320","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijamc.2017.10010320","pdf_url":null,"source":{"id":"https://openalex.org/S94275419","display_name":"International Journal of Advanced Media and Communication","issn_l":"1462-4613","issn":["1462-4613","1741-8003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Media and Communication","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1982887217","https://openalex.org/W2015565878","https://openalex.org/W2017039044","https://openalex.org/W2019676264","https://openalex.org/W2035233912","https://openalex.org/W2049585256","https://openalex.org/W2053691921","https://openalex.org/W2054601350","https://openalex.org/W2080165209","https://openalex.org/W2081996589","https://openalex.org/W2090543147","https://openalex.org/W2105672031","https://openalex.org/W2124731682","https://openalex.org/W2129188924","https://openalex.org/W2132573196","https://openalex.org/W2132984323","https://openalex.org/W2142259554","https://openalex.org/W2142276208","https://openalex.org/W2163935396","https://openalex.org/W2171050710"],"related_works":["https://openalex.org/W2603296534","https://openalex.org/W2156106714","https://openalex.org/W2106538169","https://openalex.org/W2138430606","https://openalex.org/W2131702615","https://openalex.org/W1499106570","https://openalex.org/W3105615783","https://openalex.org/W2006088313","https://openalex.org/W2101208289","https://openalex.org/W2115801141"],"abstract_inverted_index":{"In":[0,61],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,67],"new":[6,73],"embedded":[7,23,90,96],"image":[8],"compression":[9,24,97],"scheme":[10,45,65,86],"which":[11,26],"uses":[12,66],"rate-distortion":[13,47,59],"optimised":[14],"block":[15,32,69],"coding":[16,34],"(RDBC)":[17],"of":[18,40],"wavelet":[19,41,51],"coefficients.":[20],"Unlike":[21],"conventional":[22],"schemes":[25],"use":[27],"the":[28,38,43,63,77,84],"set":[29],"partition":[30,33,70],"or":[31,53],"methods":[35],"according":[36,55],"to":[37,56],"magnitude":[39],"coefficients,":[42],"proposed":[44,64,85],"achieves":[46],"optimisation":[48],"by":[49],"ordering":[50],"coefficients":[52],"blocks":[54],"their":[57],"expected":[58],"slopes.":[60],"addition,":[62],"modified":[68],"method":[71],"and":[72],"context":[74],"models":[75],"for":[76],"entropy":[78],"coding.":[79],"Experimental":[80],"results":[81],"demonstrate":[82],"that":[83],"not":[87],"only":[88],"produces":[89],"bit-streams":[91],"but":[92],"also":[93],"outperforms":[94],"existing":[95],"schemes.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}