{"id":"https://openalex.org/W1568582546","doi":"https://doi.org/10.1109/icip.2003.1247265","title":"A new wavelet-based method for contrast/edge enhancement","display_name":"A new wavelet-based method for contrast/edge enhancement","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1568582546","doi":"https://doi.org/10.1109/icip.2003.1247265","mag":"1568582546"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5110722840","display_name":"Jinhui Qin","orcid":"https://orcid.org/0000-0002-5874-0437"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jinhui Qin","raw_affiliation_strings":["Computer Science Department, University of Western Ontario, London, Ontario, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059318314","display_name":"Mahmoud R. El-Sakka","orcid":"https://orcid.org/0000-0002-7877-8280"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.R. El-Sakka","raw_affiliation_strings":["Computer Science Department, University of Western Ontario, London, Ontario, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110722840"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.8199,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73556326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"397"},"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/T11019","display_name":"Image Enhancement 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":0.9995999932289124,"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/wavelet","display_name":"Wavelet","score":0.6939409971237183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125041246414185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070445775985718},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5995805859565735},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.5635435581207275},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5203944444656372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5161176919937134},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48729169368743896},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.46454620361328125},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.456820547580719},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.45597824454307556},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4458827078342438},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4316242039203644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41341379284858704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3555063009262085},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30771058797836304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29996922612190247},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24784213304519653}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6939409971237183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125041246414185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070445775985718},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5995805859565735},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.5635435581207275},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5203944444656372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5161176919937134},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48729169368743896},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.46454620361328125},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.456820547580719},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.45597824454307556},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4458827078342438},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4316242039203644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41341379284858704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3555063009262085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30771058797836304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29996922612190247},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24784213304519653}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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":17,"referenced_works":["https://openalex.org/W1201583","https://openalex.org/W246104650","https://openalex.org/W1512748702","https://openalex.org/W1514023984","https://openalex.org/W1568582546","https://openalex.org/W1622620102","https://openalex.org/W1964661695","https://openalex.org/W1965840278","https://openalex.org/W2027651065","https://openalex.org/W2049537960","https://openalex.org/W2049909233","https://openalex.org/W2054088009","https://openalex.org/W2140959962","https://openalex.org/W2390455153","https://openalex.org/W2492122760","https://openalex.org/W4236844765","https://openalex.org/W6634084077"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2120205576","https://openalex.org/W2107628111","https://openalex.org/W2134324324","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W3089411267","https://openalex.org/W1980417906"],"abstract_inverted_index":{"Contrast":[0],"enhancement":[1,21,56,64,72,78],"is":[2,38,80,125,134,151],"usually":[3],"achieved":[4],"by":[5],"histogram":[6],"equalizing":[7],"image":[8,77],"pixel":[9],"gray-levels":[10],"in":[11,28,33,48,58,121,129],"the":[12,25,29,34,49,68,86,89,95,107,118,122,130],"spatial":[13,35,50,70,131],"domain":[14,36,71,124],"to":[15,23,40],"redistribute":[16],"them":[17],"uniformly.":[18],"Meanwhile,":[19],"edge":[20,55,115],"attempts":[22],"emphasize":[24],"fine":[26],"details":[27,43],"original":[30],"image.":[31],"But":[32],"it":[37,92],"hard":[39],"selectively":[41],"enhance":[42],"at":[44,97],"different":[45,59,63],"scales.":[46],"Moreover,":[47,117],"domain,":[51],"applying":[52],"contrast":[53,113],"and":[54,114],"techniques":[57],"orders":[60],"may":[61],"yield":[62],"results.":[65],"To":[66],"overcome":[67],"above":[69],"issues,":[73],"a":[74,152],"new":[75],"wavelet-based":[76],"method":[79,84,109],"proposed.":[81],"The":[82,102],"proposed":[83,108],"histogram-equalizes":[85],"approximation-coefficients.":[87],"At":[88],"same":[90],"time,":[91],"high-boost":[93],"filters":[94],"detail-coefficients":[96],"selected":[98],"resolution":[99],"levels":[100],"separately.":[101],"experiments":[103],"show":[104],"that":[105,128,139],"utilizing":[106],"can":[110],"achieve":[111],"robust":[112],"enhancement.":[116],"computation":[119],"cost":[120],"wavelet":[123,153],"less":[126],"than":[127],"domain.":[132],"This":[133],"especially":[135],"true":[136],"when":[137],"considering":[138],"currently":[140],"most":[141],"images":[142],"are":[143],"already":[144],"wavelet-compressed":[145],"(the":[146],"current":[147],"JPEG":[148],"2000":[149],"standard":[150],"based":[154],"scheme).":[155]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
