{"id":"https://openalex.org/W2112914362","doi":"https://doi.org/10.1109/icassp.1986.1169275","title":"Image enhancement via transform amplitude sharpening","display_name":"Image enhancement via transform amplitude sharpening","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2112914362","doi":"https://doi.org/10.1109/icassp.1986.1169275","mag":"2112914362"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5101589562","display_name":"S.K. Mitra","orcid":"https://orcid.org/0000-0002-5174-6027"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Mitra","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030764799","display_name":"Tian-Hu Yu","orcid":"https://orcid.org/0000-0002-2031-9030"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Hu Yu","raw_affiliation_strings":["Department of Electrical Engineering, Dalian Marine College, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Dalian Marine College, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101589562"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17145483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2463","last_page":"2466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9991000294685364,"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/sharpening","display_name":"Sharpening","score":0.9314771890640259},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6401908993721008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096029281616211},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5583817958831787},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.551425576210022},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.533292293548584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4939025044441223},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.47647520899772644},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4543652832508087},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.44793379306793213},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44581180810928345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44223445653915405},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4346928298473358},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4230683445930481},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.41519129276275635},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4124559760093689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36657002568244934},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.20840713381767273},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.1469748318195343},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13942843675613403},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10983669757843018}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9314771890640259},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6401908993721008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096029281616211},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5583817958831787},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.551425576210022},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.533292293548584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4939025044441223},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.47647520899772644},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4543652832508087},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.44793379306793213},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44581180810928345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44223445653915405},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4346928298473358},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4230683445930481},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41519129276275635},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4124559760093689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36657002568244934},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.20840713381767273},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.1469748318195343},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13942843675613403},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10983669757843018},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1169275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1998235268","https://openalex.org/W2050538918","https://openalex.org/W4254563424"],"related_works":["https://openalex.org/W2066185872","https://openalex.org/W2065866067","https://openalex.org/W2405313268","https://openalex.org/W2144870453","https://openalex.org/W2157003198","https://openalex.org/W2152100107","https://openalex.org/W2096129680","https://openalex.org/W4239902432","https://openalex.org/W2735547167","https://openalex.org/W4236610566"],"abstract_inverted_index":{"A":[0,79],"new":[1,50],"frequency-domain":[2],"based":[3],"image":[4,21,84,102],"edge":[5],"enhancement":[6],"technique":[7],"is":[8,22,36,52],"described.":[9],"In":[10],"the":[11,14,17,31,44,47,56,69,82,87,101,107,114],"proposed":[12,88,108],"method,":[13],"magnitude":[15],"of":[16,19,46,81],"transform":[18,41,89],"an":[20,39],"modified":[23],"using":[24,86],"a":[25],"novel":[26],"amplitude":[27,90],"change":[28],"function":[29],"with":[30,68,106],"phase":[32],"kept":[33],"invariant,":[34],"which":[35],"followed":[37],"by":[38],"inverse":[40],"resulting":[42],"in":[43],"crispening":[45],"edge.":[48],"The":[49],"method":[51,58,92,109],"somewhat":[53],"similar":[54],"to":[55,77,99,112],"alpha-rooting":[57],"but":[59],"does":[60],"not":[61],"suffer":[62],"from":[63],"certain":[64],"objectionable":[65],"artifacts":[66],"associated":[67],"latter,":[70],"and":[71],"also":[72],"exhibits":[73],"less":[74],"degradation":[75],"due":[76],"noise.":[78],"post-processing":[80],"enhanced":[83,105],"generated":[85],"sharpening":[91],"via":[93],"histogram":[94],"modification":[95],"has":[96],"been":[97],"found":[98],"improve":[100],"quality.":[103],"Images":[104],"are":[110],"included":[111],"illustrate":[113],"method.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
