{"id":"https://openalex.org/W3167175474","doi":"https://doi.org/10.1145/3447587.3447600","title":"Accelerating Deconvolution in Extended Depth of Field Based on FFT and GPU Computation","display_name":"Accelerating Deconvolution in Extended Depth of Field Based on FFT and GPU Computation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167175474","doi":"https://doi.org/10.1145/3447587.3447600","mag":"3167175474"},"language":"en","primary_location":{"id":"doi:10.1145/3447587.3447600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110660539","display_name":"Yanyan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shi","raw_affiliation_strings":["School of Mathematical Sciences Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004797501","display_name":"Yuanzong Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzong Yi","raw_affiliation_strings":["School of Mathematical Sciences Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113653757","display_name":"Xin Guan","orcid":"https://orcid.org/0000-0001-9720-2749"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Guan","raw_affiliation_strings":["School of Mathematical Sciences Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420388","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0001-7799-4961"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["School of Mathematical Sciences Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103237189","display_name":"Chenjian Wu","orcid":"https://orcid.org/0000-0002-6645-1854"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjian Wu","raw_affiliation_strings":["School of Electronic and Information Engineering Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088943078","display_name":"Minxin Chen","orcid":"https://orcid.org/0009-0001-8114-5302"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxin Chen","raw_affiliation_strings":["School of Mathematical Sciences Soochow University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Soochow University, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9921000003814697,"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/deconvolution","display_name":"Deconvolution","score":0.8175919651985168},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.7407399415969849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663289487361908},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6349090337753296},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6344802975654602},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6044016480445862},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5860905051231384},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4820014536380768},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.42170485854148865},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4166010022163391},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3727700710296631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3704349100589752},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3543006181716919},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35146236419677734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34361398220062256},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.28270241618156433}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8175919651985168},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.7407399415969849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663289487361908},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6349090337753296},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6344802975654602},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6044016480445862},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5860905051231384},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4820014536380768},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.42170485854148865},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4166010022163391},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3727700710296631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3704349100589752},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3543006181716919},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35146236419677734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34361398220062256},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.28270241618156433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447587.3447600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1542704817","https://openalex.org/W1985715806","https://openalex.org/W2041862200","https://openalex.org/W2042297216","https://openalex.org/W2043550304","https://openalex.org/W2085932454","https://openalex.org/W2086776497","https://openalex.org/W2120626801","https://openalex.org/W2128254445","https://openalex.org/W2131168375","https://openalex.org/W2145948911","https://openalex.org/W2170163526"],"related_works":["https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W2023572661","https://openalex.org/W4245975140","https://openalex.org/W2532592438","https://openalex.org/W1977763331","https://openalex.org/W2364399933","https://openalex.org/W2026824768","https://openalex.org/W2075075842"],"abstract_inverted_index":{"Image":[0],"Fusion":[1],"Technology":[2],"is":[3,110,123,134],"an":[4],"effective":[5],"way":[6],"to":[7,92,113],"extend":[8],"the":[9,37,66,69,76,88,97,121,130,138],"depth":[10],"of":[11,19,59,65,101],"field":[12],"(EDF)":[13],"and":[14,41,95,99,129],"has":[15,55],"a":[16,28,47,56],"wide":[17],"range":[18],"applications.":[20],"In":[21,34,73],"[1],":[22],"Michael":[23],"Unser":[24],"et":[25],"al.":[26],"proposed":[27],"model-based":[29],"deconvolution":[30],"method":[31],"for":[32],"EDF.":[33],"this":[35,53,74],"method,":[36],"fused":[38,102],"clear":[39],"texture":[40],"topography":[42],"are":[43,78,96],"obtained":[44],"by":[45,80,125],"solving":[46],"nonlinear":[48],"least-squares":[49],"minimization":[50],"model.":[51],"However,":[52],"algorithm":[54],"large":[57],"quantity":[58],"convolution":[60],"calculation":[61,115],"which":[62,85],"takes":[63],"most":[64],"time":[67],"in":[68,104],"image":[70,103,133],"fusion":[71,132],"process.":[72],"paper,":[75],"convolutions":[77],"accelerated":[79],"Fast":[81],"Fourier":[82],"Transform":[83],"(FFT)":[84],"can":[86],"make":[87],"complexity":[89],"change":[90],"from":[91],",":[93],"where":[94],"height":[98],"width":[100],"pixels,":[105],"respectively.":[106],"Furthermore,":[107],"CUDA":[108],"programming":[109],"also":[111],"used":[112],"improve":[114],"speed.":[116],"Compared":[117],"with":[118],"original":[119],"algorithm,":[120],"speed":[122],"increased":[124],"approximately":[126],"ten":[127],"folds,":[128],"output":[131],"identically":[135],"tantamount":[136],"except":[137],"boundaries.":[139]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
