{"id":"https://openalex.org/W2791845153","doi":"https://doi.org/10.1109/ipta.2017.8310093","title":"Single parameter post-processing method for image deblurring","display_name":"Single parameter post-processing method for image deblurring","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2791845153","doi":"https://doi.org/10.1109/ipta.2017.8310093","mag":"2791845153"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5051796014","display_name":"A. S. Krylov","orcid":"https://orcid.org/0000-0001-9910-4501"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrey Krylov","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University"],"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029942650","display_name":"Andrey Nasonov","orcid":"https://orcid.org/0000-0002-7844-4627"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Nasonov","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University"],"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053509118","display_name":"Yakov Pchelintsev","orcid":null},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yakov Pchelintsev","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University"],"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051796014"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74210964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9979000091552734,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958000183105469,"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/deblurring","display_name":"Deblurring","score":0.9717167615890503},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.8790575265884399},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8670395016670227},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7704927921295166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752139687538147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7251929044723511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026243209838867},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6474208235740662},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6349536776542664},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5995169878005981},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5608916282653809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5169331431388855},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4802268147468567},{"id":"https://openalex.org/keywords/unsharp-masking","display_name":"Unsharp masking","score":0.4420239329338074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37851136922836304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2915121912956238}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9717167615890503},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8790575265884399},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8670395016670227},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7704927921295166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752139687538147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7251929044723511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026243209838867},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6474208235740662},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6349536776542664},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5995169878005981},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5608916282653809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5169331431388855},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4802268147468567},{"id":"https://openalex.org/C79052406","wikidata":"https://www.wikidata.org/wiki/Q365715","display_name":"Unsharp masking","level":4,"score":0.4420239329338074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37851136922836304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2915121912956238}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2017.8310093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1568680666","https://openalex.org/W1974013408","https://openalex.org/W2001082700","https://openalex.org/W2047832282","https://openalex.org/W2053189442","https://openalex.org/W2057220024","https://openalex.org/W2072409906","https://openalex.org/W2095106682","https://openalex.org/W2121953511","https://openalex.org/W2127897610","https://openalex.org/W2128339594","https://openalex.org/W2138881789","https://openalex.org/W2145023731","https://openalex.org/W2163940565","https://openalex.org/W2201752477","https://openalex.org/W2526950684","https://openalex.org/W2735227109","https://openalex.org/W7060925602"],"related_works":["https://openalex.org/W2136313643","https://openalex.org/W2087579212","https://openalex.org/W2322289929","https://openalex.org/W2166538457","https://openalex.org/W1991633490","https://openalex.org/W2513657043","https://openalex.org/W2118723778","https://openalex.org/W2607439943","https://openalex.org/W2165187704","https://openalex.org/W2236302086"],"abstract_inverted_index":{"Numerous":[0],"algorithms":[1],"exist":[2],"for":[3,82],"the":[4,32,37,61,64,91,94],"problem":[5],"of":[6,8,16,39,63,93],"deconvolution":[7],"blurred":[9],"images.":[10],"But":[11],"due":[12],"to":[13,34,57,70,89,98],"ill-posed":[14],"nature":[15],"deconvolution,":[17],"many":[18],"images":[19,41],"still":[20],"remain":[21],"blurry":[22,40],"after":[23],"deblurring.":[24],"An":[25],"edge":[26,43],"sharpening":[27],"algorithm":[28],"is":[29,47,56,87],"proposed":[30,95],"in":[31,42,60],"paper":[33],"further":[35],"improve":[36],"quality":[38],"areas.":[44],"The":[45],"method":[46,96],"based":[48],"on":[49],"pixel":[50],"grid":[51],"warping,":[52],"its":[53,100],"main":[54],"idea":[55],"move":[58],"pixels":[59],"direction":[62],"nearest":[65],"image":[66],"edges.":[67],"Warping":[68],"allows":[69],"make":[71],"edges":[72],"sharper":[73],"while":[74],"keeping":[75],"textured":[76],"areas":[77],"almost":[78],"intact.":[79],"Experimental":[80],"analysis":[81],"different":[83],"optical":[84],"blur":[85],"models":[86],"performed":[88],"optimize":[90],"parameters":[92],"and":[97],"show":[99],"effectiveness.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}