{"id":"https://openalex.org/W2765282331","doi":"https://doi.org/10.1109/tsp.2017.8076058","title":"Compression-Oriented quantization improvement of compressive sensing based imaging","display_name":"Compression-Oriented quantization improvement of compressive sensing based imaging","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2765282331","doi":"https://doi.org/10.1109/tsp.2017.8076058","mag":"2765282331"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.8076058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","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/A5011397550","display_name":"Tao Wu","orcid":"https://orcid.org/0000-0002-2519-7407"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["Chair for Data Communications Systems, University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Data Communications Systems, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021417034","display_name":"Christoph Ruland","orcid":"https://orcid.org/0000-0002-4518-8735"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Ruland","raw_affiliation_strings":["Chair for Data Communications Systems, University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Data Communications Systems, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.494,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64907726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"604","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/lossy-compression","display_name":"Lossy compression","score":0.7369289994239807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017543911933899},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.604888379573822},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6025129556655884},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5253393054008484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37286463379859924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3499823808670044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3439534902572632},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1636069118976593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14423298835754395}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7369289994239807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017543911933899},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.604888379573822},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6025129556655884},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5253393054008484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37286463379859924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3499823808670044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3439534902572632},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1636069118976593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14423298835754395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.8076058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","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":16,"referenced_works":["https://openalex.org/W59557121","https://openalex.org/W1961240022","https://openalex.org/W2020390700","https://openalex.org/W2060430274","https://openalex.org/W2093471207","https://openalex.org/W2104486287","https://openalex.org/W2128804753","https://openalex.org/W2129131372","https://openalex.org/W2142126109","https://openalex.org/W2154423986","https://openalex.org/W2164452299","https://openalex.org/W2227430181","https://openalex.org/W2296616510","https://openalex.org/W2963043682","https://openalex.org/W4250955649","https://openalex.org/W6689724373"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W2385628723","https://openalex.org/W4313046148","https://openalex.org/W2751842002","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546"],"abstract_inverted_index":{"Image":[0],"compression":[1,57,60,89],"has":[2,55,121],"highly":[3],"developed":[4],"in":[5,45],"recent":[6],"decades.":[7],"The":[8,31,114],"common":[9],"way":[10],"is":[11,49,102,116],"to":[12,26,85,118],"transform":[13],"the":[14,23,28,52,56,62,67,80,87,92,107,129],"sensed":[15],"image":[16],"into":[17],"an":[18],"appropriate":[19],"basis,":[20],"then":[21],"encode":[22],"important":[24],"coefficients":[25],"reduce":[27],"data":[29,88,133],"size.":[30],"Compressive":[32],"Sensing":[33],"based":[34],"imaging":[35],"(CSI)":[36],"system":[37,54],"can":[38],"combine":[39],"sensing":[40],"and":[41,120],"source":[42],"coding":[43],"process":[44],"one":[46],"step.":[47],"It":[48],"clear":[50],"that":[51],"CSI":[53,63,71,93,100],"property,":[58],"but":[59],"of":[61,91,105,126],"does":[64],"not":[65],"have":[66],"conventional":[68],"meaning.":[69],"Sometimes":[70],"measurements":[72],"even":[73],"require":[74],"a":[75,95,111],"larger":[76],"memory":[77],"size":[78],"than":[79],"recovered":[81],"image.":[82],"In":[83,124],"order":[84],"improve":[86],"property":[90],"system,":[94],"lossy":[96],"quantization":[97],"mechanism":[98,115],"for":[99],"method":[101],"proposed":[103],"instead":[104],"employing":[106],"uniform":[108],"quantizer":[109],"with":[110],"fixed":[112],"precision.":[113],"easy":[117],"implement":[119],"small":[122],"distortion.":[123],"terms":[125],"recovery":[127],"quality":[128],"improvement":[130],"presents":[131],"good":[132],"compression.":[134]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}