{"id":"https://openalex.org/W4229454530","doi":"https://doi.org/10.1155/2022/5528416","title":"An Improved Image Processing Based on Deep Learning Backpropagation Technique","display_name":"An Improved Image Processing Based on Deep Learning Backpropagation Technique","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4229454530","doi":"https://doi.org/10.1155/2022/5528416"},"language":"en","primary_location":{"id":"doi:10.1155/2022/5528416","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5528416","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/5528416.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2022/5528416.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040889626","display_name":"Yang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["Academy of Fine Arts, Shenyang University, Liaoning, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Academy of Fine Arts, Shenyang University, Liaoning, Shenyang, China","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086922873","display_name":"Yue Tian","orcid":"https://orcid.org/0000-0003-0968-2418"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Tian","raw_affiliation_strings":["Shenyang Institute of Computing Technology Co Ltd,","Shenyang Institute of Computing Technology Co Ltd, The Chinese Academy of Sciences, Liaoning, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology Co Ltd,","institution_ids":["https://openalex.org/I4210120842"]},{"raw_affiliation_string":"Shenyang Institute of Computing Technology Co Ltd, The Chinese Academy of Sciences, Liaoning, Shenyang, China","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086922873"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120842"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.5105,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62894208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9998000264167786,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9998000264167786,"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/T10388","display_name":"Advanced Steganography and Watermarking 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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"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/encryption","display_name":"Encryption","score":0.7644608616828918},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6768501996994019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760328412055969},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6290298700332642},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6168571710586548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526403784751892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49006426334381104},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45477646589279175},{"id":"https://openalex.org/keywords/key-space","display_name":"Key space","score":0.4475489556789398},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4457227289676666},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42840084433555603},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42270010709762573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40404441952705383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35848772525787354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23178312182426453}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7644608616828918},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6768501996994019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760328412055969},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6290298700332642},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6168571710586548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526403784751892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49006426334381104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45477646589279175},{"id":"https://openalex.org/C105322999","wikidata":"https://www.wikidata.org/wiki/Q1557574","display_name":"Key space","level":3,"score":0.4475489556789398},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4457227289676666},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42840084433555603},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42270010709762573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40404441952705383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35848772525787354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23178312182426453},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/5528416","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5528416","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/5528416.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:5528416","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2022/5528416.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:706d5ae003e5427ca0475d0d470ec6f9","is_oa":true,"landing_page_url":"https://doaj.org/article/706d5ae003e5427ca0475d0d470ec6f9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/5528416","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5528416","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/5528416.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229454530.pdf","grobid_xml":"https://content.openalex.org/works/W4229454530.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2187155979","https://openalex.org/W2588434662","https://openalex.org/W2620714682","https://openalex.org/W2900394486","https://openalex.org/W2907856008","https://openalex.org/W2944328891","https://openalex.org/W2944454002","https://openalex.org/W2971122390","https://openalex.org/W2995164854","https://openalex.org/W2997484060","https://openalex.org/W3000465930","https://openalex.org/W3005779010","https://openalex.org/W3011185366","https://openalex.org/W3012759926","https://openalex.org/W3015896431","https://openalex.org/W3026554779","https://openalex.org/W3034584299","https://openalex.org/W3046108963","https://openalex.org/W3046771493","https://openalex.org/W3084112122","https://openalex.org/W3108553720","https://openalex.org/W3117615028","https://openalex.org/W3119847975","https://openalex.org/W3122039345","https://openalex.org/W3123060870","https://openalex.org/W4231465774","https://openalex.org/W4238136161"],"related_works":["https://openalex.org/W2546871836","https://openalex.org/W2136485282","https://openalex.org/W1498259939","https://openalex.org/W1983610137","https://openalex.org/W2097458023","https://openalex.org/W2391384657","https://openalex.org/W2990472155","https://openalex.org/W4254215496","https://openalex.org/W2088396272","https://openalex.org/W2375489546"],"abstract_inverted_index":{"In":[0],"terms":[1],"of":[2,13,19,31,46,58,65,134,143,161,182],"image":[3,14,42,66,146,155,166,199],"processing,":[4],"encryption":[5,32,136,167,201],"plays":[6],"the":[7,11,29,35,41,52,56,59,63,95,117,124,141,144,154,157,162,169,178,189,208,213],"main":[8,132],"role":[9],"in":[10,51,62,120],"field":[12],"transmission.":[15],"Using":[16],"one":[17,49],"algorithm":[18,215],"deep":[20,190],"learning":[21,34,78,191],"(DL),":[22],"such":[23],"as":[24,186],"neural":[25,53,81,103],"network":[26,54],"backpropagation,":[27],"increases":[28],"performance":[30,57],"by":[33,76,177,206],"parameters":[36],"and":[37,91,115,126,171],"weights":[38],"derived":[39],"from":[40,100],"itself.":[43],"The":[44,131],"use":[45],"more":[47],"than":[48,219],"layer":[50],"improves":[55],"algorithm.":[60],"Also,":[61],"process":[64],"encryption,":[67],"randomness":[68,114,183],"is":[69,138,168],"an":[70],"important":[71,163],"component,":[72],"especially":[73],"when":[74],"used":[75,87,111,185],"smart":[77],"methods.":[79],"Deep":[80],"networks":[82],"are":[83,184],"related":[84],"to":[85,88,94,122,139,147,152],"pixels":[86],"manipulate":[89],"position":[90],"value":[92,98],"according":[93],"predicted":[96],"new":[97],"given":[99],"a":[101],"variable":[102],"system.":[104],"It":[105],"also":[106],"includes":[107],"messy":[108,204],"encrypted":[109,145],"images":[110,205],"via":[112],"applying":[113],"increasing":[116],"key":[118],"space":[119],"addition":[121],"using":[123],"logistic":[125],"Henon":[127],"map":[128],"for":[129,165,188],"complexity.":[130],"goal":[133],"any":[135],"method":[137],"increase":[140],"complexity":[142],"be":[148,175],"difficult":[149],"or":[150],"impossible":[151],"decrypt":[153],"without":[156],"proposed":[158,179],"key.":[159],"One":[160],"measurements":[164],"histogram":[170],"how":[172],"it":[173],"can":[174],"uniformed":[176],"method.":[180],"Variables":[181],"features":[187],"system,":[192],"with":[193],"feedback":[194],"during":[195],"iteration.":[196],"An":[197],"ideal":[198],"processing":[200],"yields":[202],"high":[203],"keeping":[207],"quality.":[209],"Experimental":[210],"results":[211,218],"showed":[212],"backpropagation":[214],"achieved":[216],"better":[217],"other":[220],"algorithms.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
