{"id":"https://openalex.org/W1622516517","doi":"https://doi.org/10.1109/csndsp16145.2010.5580375","title":"Integer computation of JPEG2000 wavelet transform and quantization for lossy compression","display_name":"Integer computation of JPEG2000 wavelet transform and quantization for lossy compression","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1622516517","doi":"https://doi.org/10.1109/csndsp16145.2010.5580375","mag":"1622516517"},"language":"en","primary_location":{"id":"doi:10.1109/csndsp16145.2010.5580375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csndsp16145.2010.5580375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Communication Systems, Networks &amp; Digital Signal Processing (CSNDSP 2010)","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/A5020455103","display_name":"Eric J. Balster","orcid":"https://orcid.org/0000-0002-3855-598X"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric J. Balster","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077485294","display_name":"Benjamin T. Fortener","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin T. Fortener","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111940325","display_name":"William F. Turri","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William F. Turri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA","institution_ids":["https://openalex.org/I127591826"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Dayton, Kettering Laboratory, rm 341, 300 College Park, OH 45469, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04861372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"500"},"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":0.9984999895095825,"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":0.9976999759674072,"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/lossy-compression","display_name":"Lossy compression","score":0.7248320579528809},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5993223190307617},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5195118188858032},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5144474506378174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5099247694015503},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49184465408325195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48242005705833435},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4322466254234314},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4189397096633911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3847985863685608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18259301781654358},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14198261499404907},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.058069467544555664}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7248320579528809},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5993223190307617},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5195118188858032},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5144474506378174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5099247694015503},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49184465408325195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48242005705833435},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4322466254234314},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4189397096633911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3847985863685608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18259301781654358},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14198261499404907},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.058069467544555664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csndsp16145.2010.5580375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csndsp16145.2010.5580375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Symposium on Communication Systems, Networks &amp; Digital Signal Processing (CSNDSP 2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1506370097","https://openalex.org/W1591501212","https://openalex.org/W2020919250","https://openalex.org/W2027707779","https://openalex.org/W2053691921","https://openalex.org/W2096051534","https://openalex.org/W2138453916"],"related_works":["https://openalex.org/W2013943429","https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W2751842002","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546","https://openalex.org/W2078838509"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,12,29,117],"integer-based":[4],"CDF":[5,52],"9/7":[6,53],"wavelet":[7,54,65,95,138],"transform":[8,31,96,139],"as":[9,11,97,99,127,129],"well":[10,98,128],"integer":[13,30,39,58,114],"quantization":[14,33,149],"method":[15,47],"used":[16],"in":[17,90,103,133,144],"a":[18,37,88,130,141],"lossy":[19,42,46],"JPEG2000":[20,43,86,124],"compression":[21,49,125],"engine":[22,126],"is":[23],"presented.":[24],"The":[25,45,110],"conjunction":[26],"of":[27,41,48,85,93,101,112,136,147],"both":[28],"and":[32,74,140],"step":[34],"allow":[35],"for":[36,106],"complete":[38],"computation":[40,84,115,134,145],"compression.":[44],"utilizes":[50],"the":[51,78,94,113,122,137,148],"filter,":[55],"which":[56,67],"transforms":[57],"input":[59],"pixel":[60],"values":[61],"into":[62,72],"floating":[63],"point":[64],"coefficients":[66],"are":[68],"then":[69],"quantized":[70],"back":[71],"integers":[73],"finally":[75],"compressed":[76],"by":[77],"EBCOT":[79],"tier":[80],"1":[81],"encoder.":[82],"Integer":[83],"allows":[87],"reduction":[89,132,143],"computational":[91,108],"complexity":[92],"ease":[100],"implementation":[102],"embedded":[104],"systems":[105],"higher":[107],"performance.":[109],"results":[111],"show":[116],"equivalent":[118],"rate/distortion":[119],"curve":[120],"to":[121],"JasPer":[123],"35%":[131],"time":[135,146],"56%":[142],"processing,":[150],"on":[151],"average.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
