{"id":"https://openalex.org/W1600774330","doi":"https://doi.org/10.1109/iciap.2003.1234058","title":"Advantages of using a space filling curve for computing wavelet transforms of road traffic images","display_name":"Advantages of using a space filling curve for computing wavelet transforms of road traffic images","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W1600774330","doi":"https://doi.org/10.1109/iciap.2003.1234058","mag":"1600774330"},"language":"en","primary_location":{"id":"doi:10.1109/iciap.2003.1234058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","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/A5049935974","display_name":"Wies\u0142aw Pamu\u0142a","orcid":"https://orcid.org/0000-0001-9792-6528"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"W. Pamula","raw_affiliation_strings":["Faculty of Transport, Silesian Technical University, Katowice, Poland","Fac. of Transp., Silesian Tech. Univ., Katowice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Transport, Silesian Technical University, Katowice, Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Fac. of Transp., Silesian Tech. Univ., Katowice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049935974"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07982555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9850999712944031,"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":0.9842000007629395,"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/hilbert-curve","display_name":"Hilbert curve","score":0.7478033900260925},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.7029293179512024},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6535643339157104},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6078895926475525},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5873177647590637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810554027557373},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5373619198799133},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.52242112159729},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5173730254173279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.476312518119812},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.47115933895111084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4706049859523773},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.4452963173389435},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.418314665555954},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4131661355495453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4032108783721924}],"concepts":[{"id":"https://openalex.org/C2781142347","wikidata":"https://www.wikidata.org/wiki/Q1366592","display_name":"Hilbert curve","level":2,"score":0.7478033900260925},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7029293179512024},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6535643339157104},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6078895926475525},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5873177647590637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810554027557373},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5373619198799133},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.52242112159729},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5173730254173279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.476312518119812},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.47115933895111084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4706049859523773},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.4452963173389435},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.418314665555954},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4131661355495453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4032108783721924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciap.2003.1234058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1588770415","https://openalex.org/W1975358183","https://openalex.org/W1980097476","https://openalex.org/W2015370045","https://openalex.org/W2159772324","https://openalex.org/W4206059443","https://openalex.org/W4234535213","https://openalex.org/W4251101141"],"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":{"The":[0],"properties":[1],"of":[2,6,21,55,64,79],"computing":[3],"wavelet":[4,26,73],"transforms":[5],"road":[7],"traffic":[8],"image":[9,22],"data":[10,23],"are":[11,44],"discussed.":[12],"It":[13],"is":[14,48,90],"proposed":[15],"to":[16],"incorporate":[17],"a":[18,25,49,61,71,76,83,88],"Hilbert":[19],"scan":[20],"and":[24],"transform":[27,74],"factorised":[28],"into":[29],"lifting":[30],"steps.":[31],"Scanning":[32],"an":[33,68],"image,":[34],"in":[35],"space":[36],"filling":[37],"curve":[38],"order,":[39],"brings":[40],"together":[41],"pixels":[42],"that":[43],"highly":[45],"correlated.":[46],"This":[47],"desirable":[50],"property,":[51],"because":[52],"the":[53],"objects":[54],"interest":[56],"-":[57,59],"vehicles":[58],"comprise":[60],"bounded":[62],"set":[63],"regular":[65],"patches":[66],"on":[67,93],"image.":[69],"Applying":[70],"1-dimensional":[72],"requires":[75],"smaller":[77],"number":[78],"processing":[80],"steps":[81],"than":[82],"separable":[84],"two-dimensional":[85],"transform.":[86],"Such":[87],"solution":[89],"suitable":[91],"for":[92],"site":[94],"microcontroller":[95],"or":[96],"FPGA":[97],"implementation.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
