{"id":"https://openalex.org/W7217445444","doi":null,"title":"A Study on Digital Images and Their Related Methods: Exploring Various Techniques and Algorithms for Image Processing","display_name":"A Study on Digital Images and Their Related Methods: Exploring Various Techniques and Algorithms for Image Processing","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W7217445444"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.172.17.26.55:8340:article/5804","doi":null,"is_oa":true,"landing_page_url":"https://www.ignited.in/index.php/jasrae/article/view/5804","pdf_url":"https://www.ignited.in/index.php/jasrae/article/download/5804/11416","source":{"id":"https://openalex.org/S4210210275","display_name":"Journal of Advances and Scholarly Researches in Allied Education","issn_l":"2230-7540","issn":["2230-7540"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2230-7540","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.ignited.in/index.php/jasrae/article/download/5804/11416","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5154700997","display_name":"Baljeet  Kaur Baljeet  Kaur","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baljeet  Kaur, Baljeet  Kaur","raw_affiliation_strings":["Research Scholar , OPJS University , Churu , Rajasthan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Scholar , OPJS University , Churu , Rajasthan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5155710923","display_name":"Dr. Kalpna  Midha Dr. Kalpna  Midha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dr. Kalpna  Midha, Dr. Kalpna  Midha","raw_affiliation_strings":["Assistant Professor, OPJS University , Churu , Rajasthan","Research Scholar , OPJS University , Churu , Rajasthan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, OPJS University , Churu , Rajasthan","institution_ids":[]},{"raw_affiliation_string":"Research Scholar , OPJS University , Churu , Rajasthan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13674","display_name":"Computer Science and Engineering","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13674","display_name":"Computer Science and Engineering","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.03779999911785126,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.027799999341368675,"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/image-processing-techniques","display_name":"image processing algorithms","score":0.8050000071525574},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.7900000214576721},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"image enhancement","score":0.9990000128746033},{"id":"https://openalex.org/keywords/image-restoration","display_name":"image restoration","score":0.9980000257492065},{"id":"https://openalex.org/keywords/image-analysis","display_name":"image analysis","score":0.8149999976158142},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.9959999918937683},{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.8069999814033508},{"id":"https://openalex.org/keywords/geometric-distortion-correction","display_name":"geometric distortion correction","score":0.6980000138282776},{"id":"https://openalex.org/keywords/radiometric-calibration","display_name":"radiometric calibration","score":0.8199999928474426},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.9070000052452087},{"id":"https://openalex.org/keywords/multispectral-image-analysis","display_name":"multispectral image analysis","score":0.640999972820282},{"id":"https://openalex.org/keywords/land-cover-classification","display_name":"land cover classification","score":0.6779999732971191},{"id":"https://openalex.org/keywords/digital-images","display_name":"digital images","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.7416999936103821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7139999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886000037193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666700005531311},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.6654000282287598},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.6448000073432922},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5020999908447266},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4903999865055084},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4900999963283539},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4271000027656555},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41659998893737793},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.38429999351501465},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.36469998955726624},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C28435686","wikidata":"https://www.wikidata.org/wiki/Q860755","display_name":"Image analysis","level":5,"score":0.34860000014305115},{"id":"https://openalex.org/C112416745","wikidata":"https://www.wikidata.org/wiki/Q974213","display_name":"Digital imaging","level":5,"score":0.3278000056743622},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.32600000500679016},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.32510000467300415},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.31769999861717224},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.28679999709129333},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C6972705","wikidata":"https://www.wikidata.org/wiki/Q6840028","display_name":"Microscope image processing","level":5,"score":0.2754000127315521},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.172.17.26.55:8340:article/5804","doi":null,"is_oa":true,"landing_page_url":"https://www.ignited.in/index.php/jasrae/article/view/5804","pdf_url":"https://www.ignited.in/index.php/jasrae/article/download/5804/11416","source":{"id":"https://openalex.org/S4210210275","display_name":"Journal of Advances and Scholarly Researches in Allied Education","issn_l":"2230-7540","issn":["2230-7540"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2230-7540","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.172.17.26.55:8340:article/5804","doi":null,"is_oa":true,"landing_page_url":"https://www.ignited.in/index.php/jasrae/article/view/5804","pdf_url":"https://www.ignited.in/index.php/jasrae/article/download/5804/11416","source":{"id":"https://openalex.org/S4210210275","display_name":"Journal of Advances and Scholarly Researches in Allied Education","issn_l":"2230-7540","issn":["2230-7540"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2230-7540","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7217445444.pdf","grobid_xml":"https://content.openalex.org/works/W7217445444.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7171284633","https://openalex.org/W1919392581","https://openalex.org/W7097065246","https://openalex.org/W2617111643","https://openalex.org/W2184547326","https://openalex.org/W7100663686","https://openalex.org/W2319500318","https://openalex.org/W4406003453","https://openalex.org/W7162796234","https://openalex.org/W7134259577"],"abstract_inverted_index":{"Image":[0,39,41,44,47,50,52,54],"Processing":[1],"is":[2,91,145],"a":[3,110,151],"technique":[4],"to":[5,67,72,92,146],"improve":[6],"raw":[7,64],"images":[8],"received":[9],"from":[10],"cameras":[11],"placed":[12],"on":[13],"satellites,":[14],"space":[15],"probes":[16],"and":[17,77,120,173],"aircrafts":[18],"or":[19,161],"pictures":[20],"taken":[21],"in":[22,81,109,137,150],"normal":[23],"life":[24],"for":[25,69,103,128],"various":[26,169],"applications.":[27],"Basically,":[28],"all":[29,148],"image":[30,65,98,118,153,170,186],"processing":[31,62,171,187],"operations":[32,90],"can":[33],"be":[34],"grouped":[35],"into":[36,154],"some":[37],"techniques":[38,102,172],"representation,":[40],"preprocessing":[42],",":[43,46,49],"enhancement":[45],"restoration":[48],"analysis,":[51],"reconstruction,":[53],"data":[55,66,75,99,119],"compression.":[56],"The":[57,84,140],"past":[58],"deals":[59],"with":[60,100],"initial":[61],"of":[63,86,96,107,116,123,134,142,156,168,182,185],"correct":[68],"geometric":[70],"distortion,":[71],"standardize":[73],"the":[74,82,87,97,105,114,121,130,166],"radiometrically":[76],"eliminate":[78],"noise":[79],"present":[80],"data.":[83],"aim":[85],"information":[88],"extraction":[89],"replace":[93],"visual":[94],"analysis":[95,115,167],"quantitative":[101],"automating":[104],"identification":[106],"tone":[108],"scene.":[111],"This":[112,163],"involves":[113],"multispectral":[117],"application":[122],"statistically":[124],"based":[125],"decision":[126],"rules":[127],"determining":[129],"earth":[131,158],"cover":[132,159],"identity":[133],"each":[135],"pixel":[136],"an":[138],"image.":[139],"objective":[141],"categorization":[143],"process":[144],"classify":[147],"pixels":[149],"digital":[152],"one":[155],"several":[157],"classes":[160],"themes.":[162],"paper":[164,177],"entails":[165],"algorithms.":[174],"In":[175],"this":[176],"we":[178],"analyze":[179],"different":[180],"types":[181],"existing":[183],"method":[184],"techniques.":[188]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2026-10-03T00:00:00"}
