{"id":"https://openalex.org/W2096767654","doi":"https://doi.org/10.1109/itcc.2004.1286529","title":"Minimization of boundary artifacts on scalable image compression using symmetric-extended wavelet transform","display_name":"Minimization of boundary artifacts on scalable image compression using symmetric-extended wavelet transform","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2096767654","doi":"https://doi.org/10.1109/itcc.2004.1286529","mag":"2096767654"},"language":"en","primary_location":{"id":"doi:10.1109/itcc.2004.1286529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itcc.2004.1286529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.","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/A5075285778","display_name":"Wenyuan Cai","orcid":"https://orcid.org/0009-0008-3943-1795"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]},{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"W. Cai","raw_affiliation_strings":["Center for Advanced Technology and Education Department of Electrical & Computer Engineering, Florida International University, Miami, FL, USA","Dept. of Electr. & Comput. Eng. Florida Int. Univ., Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Technology and Education Department of Electrical & Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Florida Int. Univ., Miami, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049795323","display_name":"Malek Adjouadi","orcid":"https://orcid.org/0000-0001-5380-3155"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]},{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Adjouadi","raw_affiliation_strings":["Center for Advanced Technology and Education Department of Electrical & Computer Engineering, Florida International University, Miami, FL, USA","Dept. of Electr. & Comput. Eng. Florida Int. Univ., Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Technology and Education Department of Electrical & Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Florida Int. Univ., Miami, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075285778"],"corresponding_institution_ids":["https://openalex.org/I145608581","https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.15081188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"598","last_page":"602 Vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6864950656890869},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.667742908000946},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.607025682926178},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.6024346351623535},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5761749744415283},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5672210454940796},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5226973295211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46796709299087524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4539009928703308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4361482262611389},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4345740079879761},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.4319513142108917},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.43036359548568726},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4277874827384949},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.42033281922340393},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4171571731567383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4171258807182312},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25303366780281067},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.19421043992042542},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12568718194961548}],"concepts":[{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6864950656890869},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.667742908000946},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.607025682926178},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.6024346351623535},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5761749744415283},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5672210454940796},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5226973295211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46796709299087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4539009928703308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4361482262611389},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4345740079879761},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.4319513142108917},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.43036359548568726},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4277874827384949},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.42033281922340393},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4171571731567383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171258807182312},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25303366780281067},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.19421043992042542},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12568718194961548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itcc.2004.1286529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itcc.2004.1286529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1604569756","https://openalex.org/W1658679052","https://openalex.org/W1980149518","https://openalex.org/W1981411116","https://openalex.org/W2004457624","https://openalex.org/W2020068051","https://openalex.org/W2053924748","https://openalex.org/W2099563019","https://openalex.org/W2115755118","https://openalex.org/W2135803413","https://openalex.org/W2146378993","https://openalex.org/W2170023599","https://openalex.org/W2199465064","https://openalex.org/W2591033040","https://openalex.org/W4238865235"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2386482837","https://openalex.org/W2355889335","https://openalex.org/W2023142747","https://openalex.org/W2085792030","https://openalex.org/W2019515987","https://openalex.org/W2025989299","https://openalex.org/W3116939719","https://openalex.org/W1967182499"],"abstract_inverted_index":{"Image":[0],"compression":[1,133],"techniques":[2],"are":[3,62,75,108],"routinely":[4],"applied":[5],"to":[6,26,110],"conserve":[7],"storage":[8],"space":[9],"and":[10,17,55,72,141],"minimize":[11],"bandwidth":[12],"utilization":[13],"in":[14,44,77,119,130,134],"various":[15],"video":[16],"communication":[18],"applications.":[19],"Wavelet":[20],"transform":[21,46,116,140],"is":[22,47],"an":[23],"efficient":[24],"approach":[25],"reduce":[27,124],"spatial":[28],"redundancies":[29],"without":[30],"the":[31,48,51,56,66,78,81,84,137,142],"annoying":[32],"blocking":[33],"artifacts":[34,126],"at":[35,65],"low":[36],"bit":[37],"rates.":[38],"The":[39],"underlying":[40],"signal":[41,54],"processing":[42],"used":[43],"wavelet":[45,57,115,139],"convolution":[49,89,93],"between":[50],"decimated":[52],"input":[53],"filters.":[58],"Since":[59],"image":[60,132],"signals":[61],"not":[63],"continuous":[64],"boundaries,":[67],"problems":[68],"of":[69,80,91,106],"coefficient":[70,96],"expansion":[71,97],"boundary":[73,100,125],"distortion":[74],"faced":[76],"implementation":[79],"filtering":[82],"on":[83],"finite":[85],"length":[86],"signal.":[87],"Circular":[88],"instead":[90],"linear":[92],"can":[94,122],"eliminate":[95],"but":[98],"introduce":[99],"artifacts,":[101],"especially":[102],"when":[103],"more":[104],"levels":[105],"decompositions":[107],"involved":[109],"obtain":[111],"scalable":[112,131],"images.":[113],"Symmetric-extended":[114],"(SWT)":[117],"introduced":[118],"this":[120],"paper":[121],"greatly":[123],"with":[127,136],"improved":[128],"performances":[129],"comparison":[135],"periodic-extended":[138],"JPEG":[143],"compression.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}