{"id":"https://openalex.org/W1935724493","doi":"https://doi.org/10.1109/iwssip.2015.7314220","title":"Visually lossless image compression extension for JPEG based on just-noticeable distortion evaluation","display_name":"Visually lossless image compression extension for JPEG based on just-noticeable distortion evaluation","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1935724493","doi":"https://doi.org/10.1109/iwssip.2015.7314220","mag":"1935724493"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2015.7314220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5100407629","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-6879-1705"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany","University of Stuttgart, 70569 Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"University of Stuttgart, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103350661","display_name":"Sven Simon","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Simon","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany","University of Stuttgart, 70569 Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"University of Stuttgart, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056212417","display_name":"Yousef Baroud","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yousef Baroud","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany","University of Stuttgart, 70569 Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"University of Stuttgart, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000407147","display_name":"Seyyed Mahdi Najmabadi","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Seyyed Mahdi Najmabadi","raw_affiliation_strings":["Universitat Stuttgart, Stuttgart, Baden-W\u00c3\u00bcrttemberg, DE","University of Stuttgart, 70569 Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Universitat Stuttgart, Stuttgart, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":[]},{"raw_affiliation_string":"University of Stuttgart, 70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100407629"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78347459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.65057373046875},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6403793692588806},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5917055010795593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5893099308013916},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.585771918296814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5769290924072266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5730835199356079},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5686647295951843},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5053597092628479},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5029885172843933},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4466952979564667},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4253385663032532},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4207460284233093},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.4113399386405945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36202704906463623},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3121089041233063},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26644524931907654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15916520357131958}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.65057373046875},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6403793692588806},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5917055010795593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5893099308013916},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.585771918296814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5769290924072266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730835199356079},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5686647295951843},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5053597092628479},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5029885172843933},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4466952979564667},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4253385663032532},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4207460284233093},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.4113399386405945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36202704906463623},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3121089041233063},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26644524931907654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15916520357131958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2015.7314220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W99749851","https://openalex.org/W1981259164","https://openalex.org/W2104350111","https://openalex.org/W2114494137","https://openalex.org/W2133924821","https://openalex.org/W2144520790","https://openalex.org/W2153638435","https://openalex.org/W2155655721","https://openalex.org/W2168078737","https://openalex.org/W4285719527","https://openalex.org/W6603982535"],"related_works":["https://openalex.org/W3190486427","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W1992410481","https://openalex.org/W1980149576","https://openalex.org/W2441603424","https://openalex.org/W2145138541","https://openalex.org/W2026465795","https://openalex.org/W3137515556","https://openalex.org/W4385625475"],"abstract_inverted_index":{"A":[0],"visually":[1,187],"lossless":[2,188],"image":[3,117],"encoding":[4,176],"extension":[5,11,95,177],"for":[6,29,96,150,185],"JPEG":[7,97,115,181],"is":[8,60,131],"presented.":[9],"Such":[10,85],"enables":[12],"an":[13,94],"efficient":[14],"implementation":[15],"of":[16,139,170,190],"perceptual":[17,155,175],"coding":[18,59],"by":[19,46,76,125,183],"reusing":[20],"existing":[21],"widespread":[22],"software":[23],"libraries":[24],"and":[25,79,136],"hardware":[26],"IP":[27],"cores":[28],"JPEG.":[30],"For":[31],"any":[32],"pixel":[33,110],"in":[34,62,90,112,168],"a":[35,42,100,109,113,186],"decoded":[36],"image,":[37],"the":[38,47,55,121,126,134,137,151,161,173,179],"proposed":[39,174],"algorithm":[40],"guarantees":[41],"maximum":[43],"distortion":[44,49,73,152],"bounded":[45],"just-noticeable":[48],"(JND)":[50],"threshold":[51,123],"measured":[52],"based":[53,98,159],"on":[54,99,160],"input":[56],"image.":[57],"Perceptual":[58],"performed":[61],"three":[63],"steps:":[64],"(1)":[65],"standard":[66,114,180],"transform":[67],"domain":[68,72,82],"coding,":[69],"(2)":[70],"spatial":[71,81],"visibility":[74,122,162],"analysis":[75],"JND":[77,103,127],"model":[78],"(3)":[80],"residual":[83],"coding.":[84],"scheme":[86],"has":[87],"been":[88],"implemented":[89],"this":[91],"work":[92],"as":[93,144],"low":[101],"complexity":[102],"model.":[104,128],"The":[105],"encoder":[106,182],"determines":[107],"if":[108],"block":[111],"output":[116],"contains":[118],"distortions":[119,141],"beyond":[120],"given":[124],"If":[129],"it":[130],"true":[132],"then":[133],"locations":[135],"values":[138],"such":[140],"are":[142,157],"encoded":[143],"side":[145],"information.":[146],"Quantization":[147],"step":[148],"size":[149],"values,":[153],"i.e.":[154],"residuals,":[156],"chosen":[158],"threshold.":[163],"Experimental":[164],"results":[165],"show":[166],"that":[167],"terms":[169],"compression":[171,189],"efficiency,":[172],"outperforms":[178],"50%":[184],"images.":[191]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
