{"id":"https://openalex.org/W2804325635","doi":"https://doi.org/10.1145/3193025.3193052","title":"Performance Improvement of Image Enhancement Methods Using Statistical Moving Average Histogram Modification Filter","display_name":"Performance Improvement of Image Enhancement Methods Using Statistical Moving Average Histogram Modification Filter","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2804325635","doi":"https://doi.org/10.1145/3193025.3193052","mag":"2804325635"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193052","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital 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/A5101799862","display_name":"Mayank Tiwari","orcid":"https://orcid.org/0000-0003-0347-0967"},"institutions":[{"id":"https://openalex.org/I207223250","display_name":"Indian Institute of Information Technology Design and Manufacturing Jabalpur","ror":"https://ror.org/00gmd7q80","country_code":"IN","type":"education","lineage":["https://openalex.org/I207223250"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mayank Tiwari","raw_affiliation_strings":["Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India","institution_ids":["https://openalex.org/I207223250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058691453","display_name":"Bhupendra Gupta","orcid":"https://orcid.org/0000-0001-5293-4401"},"institutions":[{"id":"https://openalex.org/I207223250","display_name":"Indian Institute of Information Technology Design and Manufacturing Jabalpur","ror":"https://ror.org/00gmd7q80","country_code":"IN","type":"education","lineage":["https://openalex.org/I207223250"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhupendra Gupta","raw_affiliation_strings":["Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India","institution_ids":["https://openalex.org/I207223250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067127573","display_name":"Subir Singh Lamba","orcid":"https://orcid.org/0000-0002-4184-5283"},"institutions":[{"id":"https://openalex.org/I207223250","display_name":"Indian Institute of Information Technology Design and Manufacturing Jabalpur","ror":"https://ror.org/00gmd7q80","country_code":"IN","type":"education","lineage":["https://openalex.org/I207223250"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subir Singh Lamba","raw_affiliation_strings":["Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics-NS, PDPM IIITDM Jabalpur, M.P., India","institution_ids":["https://openalex.org/I207223250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101799862"],"corresponding_institution_ids":["https://openalex.org/I207223250"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5342806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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":0.995199978351593,"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/histogram-equalization","display_name":"Histogram equalization","score":0.8424862623214722},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7613370418548584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764061450958252},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6692569255828857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6436499953269958},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5852699279785156},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5493613481521606},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.544176459312439},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5235304832458496},{"id":"https://openalex.org/keywords/grey-level","display_name":"Grey level","score":0.4820747971534729},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.46504130959510803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4590510427951813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44573473930358887},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.44194114208221436},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42536163330078125},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4200500547885895},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3639477491378784},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.08319604396820068}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.8424862623214722},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7613370418548584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764061450958252},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6692569255828857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436499953269958},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5852699279785156},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5493613481521606},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.544176459312439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5235304832458496},{"id":"https://openalex.org/C2994222927","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grey level","level":3,"score":0.4820747971534729},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.46504130959510803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4590510427951813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44573473930358887},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.44194114208221436},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42536163330078125},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4200500547885895},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3639477491378784},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.08319604396820068},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3193025.3193052","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital 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":31,"referenced_works":["https://openalex.org/W147723833","https://openalex.org/W1491178396","https://openalex.org/W2001412060","https://openalex.org/W2011260964","https://openalex.org/W2012554041","https://openalex.org/W2014628032","https://openalex.org/W2016622085","https://openalex.org/W2021219050","https://openalex.org/W2039157627","https://openalex.org/W2046971196","https://openalex.org/W2049420809","https://openalex.org/W2052240956","https://openalex.org/W2058333183","https://openalex.org/W2061787843","https://openalex.org/W2062315331","https://openalex.org/W2067317902","https://openalex.org/W2069160828","https://openalex.org/W2076252355","https://openalex.org/W2077878375","https://openalex.org/W2101981311","https://openalex.org/W2114723415","https://openalex.org/W2118002060","https://openalex.org/W2122866860","https://openalex.org/W2126621890","https://openalex.org/W2138796229","https://openalex.org/W2139375301","https://openalex.org/W2144628669","https://openalex.org/W2234415450","https://openalex.org/W2543592648","https://openalex.org/W2580322569","https://openalex.org/W4243958534"],"related_works":["https://openalex.org/W2348415229","https://openalex.org/W2066185872","https://openalex.org/W2168933205","https://openalex.org/W2162593906","https://openalex.org/W2372961692","https://openalex.org/W4256469574","https://openalex.org/W2065866067","https://openalex.org/W1979012573","https://openalex.org/W2588059426","https://openalex.org/W2155091976"],"abstract_inverted_index":{"Most":[0],"of":[1,42,60,62,104,123,125],"the":[2,20,43,50,58,66,92,105,114,121,126,137],"histogram":[3,51,82],"equalization":[4],"(HE)":[5],"based":[6,85,108,129],"image":[7],"contrast":[8,44],"enhancement":[9,45],"methods":[10,46],"are":[11,30],"having":[12],"a":[13,73,81,99,135],"common":[14],"problem":[15],"that":[16,39,113],"they":[17],"over":[18],"enhanced":[19],"highly":[21],"frequent":[22,27],"grey":[23,28,63],"levels":[24,29],"whereas":[25],"less":[26,32],"comparatively":[31],"enhanced.":[33],"The":[34],"reason":[35],"behind":[36],"this":[37,77,142],"is":[38,54,117,144],"in":[40,65],"most":[41,103,124],"(based":[47],"on":[48,86],"HE)":[49],"transformation":[52],"function":[53],"directly":[55],"proportional":[56],"to":[57,71,75,89,119],"frequency":[59],"occurrence":[61],"level":[64],"image.":[67],"This":[68,95],"motivates":[69],"us":[70],"design":[72],"tool":[74,136,143],"solve":[76],"problem.":[78,94],"We":[79,131],"propose":[80],"modification":[83],"filter":[84,96,116],"moving":[87],"average":[88],"deal":[90],"with":[91],"above-mentioned":[93],"works":[97],"as":[98],"pre-processing":[100],"step":[101],"for":[102,146],"conventional":[106,127],"HE":[107,128],"methods.":[109,130],"Experimental":[110],"results":[111],"show":[112],"proposed":[115],"able":[118],"enhance":[120],"performance":[122],"have":[132],"also":[133],"designed":[134],"implements":[138],"all":[139],"these":[140],"methods,":[141],"tested":[145],"real":[147],"time":[148],"video's":[149],"frame":[150],"enhancement.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}