{"id":"https://openalex.org/W2134468170","doi":"https://doi.org/10.1109/icip.2002.1040087","title":"Spatially adaptive high-resolution image reconstruction of low-resolution DCT-based compressed images","display_name":"Spatially adaptive high-resolution image reconstruction of low-resolution DCT-based compressed images","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2134468170","doi":"https://doi.org/10.1109/icip.2002.1040087","mag":"2134468170"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1040087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1040087","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image 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/A5060335510","display_name":"Sung Cheol Park","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung Cheol Park","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea","[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027284352","display_name":"Moon Gi Kang","orcid":"https://orcid.org/0000-0002-5771-929X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon Gi Kang","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea","[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082712099","display_name":"C.A. Segall","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.A. Segall","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","Northwestern University****"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University****","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.K. Katsaggelos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","Electrical Engineering and Computer Science"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Electrical Engineering and Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060335510"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":1.3345,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82420718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.692048192024231},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6328833103179932},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6282200813293457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6109023690223694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997498035430908},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5784825682640076},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5764555931091309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5618086457252502},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5572274923324585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5012633800506592},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.49867773056030273},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4572027623653412},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4375165104866028},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4311712980270386},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.4226226210594177},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4102831780910492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35830438137054443},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29609739780426025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2523444890975952},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.180218905210495},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.10174551606178284},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08342158794403076}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.692048192024231},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6328833103179932},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6282200813293457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6109023690223694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997498035430908},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5784825682640076},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5764555931091309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5618086457252502},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5572274923324585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5012633800506592},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.49867773056030273},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4572027623653412},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4375165104866028},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4311712980270386},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.4226226210594177},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4102831780910492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35830438137054443},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29609739780426025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2523444890975952},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.180218905210495},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.10174551606178284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08342158794403076},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2002.1040087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1040087","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image 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":8,"referenced_works":["https://openalex.org/W2112374343","https://openalex.org/W2116618478","https://openalex.org/W2128636021","https://openalex.org/W2138362110","https://openalex.org/W2150832756","https://openalex.org/W2170042613","https://openalex.org/W2170906025","https://openalex.org/W6684900119"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2115780304","https://openalex.org/W198797371","https://openalex.org/W2370805104","https://openalex.org/W2376104537"],"abstract_inverted_index":{"The":[0,17,46,101],"problem":[1],"of":[2,10,19,33,48,79,103],"recovering":[3],"a":[4,8,42,61],"high-resolution":[5],"image":[6],"from":[7],"sequence":[9],"low-resolution":[11,38,84],"DCT-based":[12],"compressed":[13],"images":[14],"is":[15,58,70,107],"considered.":[16],"presence":[18],"the":[20,24,28,31,37,49,76,90,98,104],"compression":[21],"system":[22],"complicates":[23],"recovery":[25],"problem,":[26],"as":[27,60],"operation":[29],"reduces":[30],"amount":[32,78],"frequency":[34],"aliasing":[35],"in":[36,82,97],"frames":[39],"and":[40,52],"introduces":[41],"non-linear":[43],"quantization":[44,50],"process,":[45],"effect":[47],"error":[51,81],"resulting":[53],"inaccurate":[54],"sub-pixel":[55],"motion":[56],"information":[57],"modeled":[59],"zero-mean":[62],"additive":[63],"correlated":[64],"Gaussian":[65],"noise.":[66],"A":[67],"regularization":[68,91],"functional":[69],"introduced,":[71],"not":[72],"only":[73],"to":[74,88],"reflect":[75],"relative":[77],"registration":[80],"each":[83],"image,":[85],"but":[86],"also":[87],"determine":[89],"parameter":[92],"without":[93],"any":[94],"prior":[95],"knowledge":[96],"reconstruction":[99],"procedure.":[100],"effectiveness":[102],"proposed":[105],"algorithm":[106],"demonstrated":[108],"experimentally.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
