{"id":"https://openalex.org/W2109757491","doi":"https://doi.org/10.1109/dcc.1996.488389","title":"High performance wavelet image compression optimized for MSE and HVS metrics","display_name":"High performance wavelet image compression optimized for MSE and HVS metrics","publication_year":2002,"publication_date":"2002-12-23","ids":{"openalex":"https://openalex.org/W2109757491","doi":"https://doi.org/10.1109/dcc.1996.488389","mag":"2109757491"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.1996.488389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Data Compression Conference - DCC '96","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/A5061338667","display_name":"Pankaj Topiwala","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P. Topiwala","raw_affiliation_strings":["MITRE Corporation, Bedford, MA, USA","MITRE Corporation,Bedford,MA,USA"],"affiliations":[{"raw_affiliation_string":"MITRE Corporation, Bedford, MA, USA","institution_ids":["https://openalex.org/I44896327"]},{"raw_affiliation_string":"MITRE Corporation,Bedford,MA,USA","institution_ids":["https://openalex.org/I44896327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061338667"],"corresponding_institution_ids":["https://openalex.org/I44896327"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15373547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"457","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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/image-compression","display_name":"Image compression","score":0.6568532586097717},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.6550714373588562},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.6171154379844666},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5955885648727417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5363956689834595},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5274099111557007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5206865072250366},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5189449787139893},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5040375590324402},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5010747909545898},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43100500106811523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40285295248031616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36366236209869385},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3004811406135559},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22712045907974243},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14698830246925354}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6568532586097717},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.6550714373588562},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.6171154379844666},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5955885648727417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5363956689834595},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5274099111557007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206865072250366},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5189449787139893},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5040375590324402},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5010747909545898},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43100500106811523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40285295248031616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36366236209869385},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3004811406135559},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22712045907974243},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14698830246925354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.1996.488389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Data Compression Conference - DCC '96","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":3,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W2037863929","https://openalex.org/W2170745401"],"related_works":["https://openalex.org/W1581737654","https://openalex.org/W2156106714","https://openalex.org/W2011446102","https://openalex.org/W2906173154","https://openalex.org/W2167336121","https://openalex.org/W1979511889","https://openalex.org/W1557835754","https://openalex.org/W3154960554","https://openalex.org/W2158701093","https://openalex.org/W2189785727"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only.":[2],"Wavelet":[3],"still":[4,40],"image":[5,41,81],"compression":[6,42,82],"has":[7,28,130],"been":[8,22,29,131],"a":[9,36,64,79,155],"focus":[10],"of":[11,60,68,78,98,105,141,180],"intense":[12],"research.":[13],"Considerable":[14],"coding":[15,186],"gains":[16],"over":[17],"older":[18],"DCT-based":[19],"methods":[20],"have":[21],"achieved,":[23],"while":[24],"the":[25,58,94,103,106,113,117,121,134,139,143],"computational":[26],"complexity":[27],"made":[30],"very":[31],"competitive.":[32],"We":[33,56,110,153],"report":[34],"on":[35],"high":[37],"performance":[38],"wavelet":[39],"algorithm":[43],"optimized":[44,91,184],"for":[45],"both":[46],"mean-squared":[47],"error":[48],"(MSE)":[49],"and":[50,70,86,100,115,164,182],"human":[51],"visual":[52],"system":[53],"(HVS)":[54],"characteristics.":[55],"present":[57],"problem":[59],"optimal":[61,127],"quantization":[62,99,144],"from":[63],"Lagrange":[65],"multiplier":[66],"point":[67],"view,":[69],"derive":[71],"novel":[72],"solutions.":[73],"Ideally,":[74],"all":[75],"three":[76],"components":[77,124],"typical":[80],"system:":[83],"transform,":[84],"quantization,":[85],"entropy":[87],"coding,":[88],"should":[89],"be":[90],"simultaneously.":[92],"However,":[93],"highly":[95],"nonlinear":[96],"nature":[97],"encoding":[101],"complicates":[102],"formulation":[104],"total":[107],"cost":[108],"function.":[109],"consider":[111],"optimizing":[112],"filter,":[114,158],"then":[116],"quantizer,":[118],"separately,":[119],"holding":[120],"other":[122],"two":[123],"fixed.":[125],"While":[126],"bit":[128],"allocation":[129],"treated":[132],"in":[133,148,189],"literature,":[135],"we":[136],"specifically":[137],"address":[138],"issue":[140],"setting":[142],"step":[145],"sizes,":[146],"which":[147,168],"practice":[149],"is":[150,187],"quite":[151],"different.":[152],"select":[154],"short":[156],"high-performance":[157],"develop":[159],"an":[160],"efficient":[161],"scalar":[162],"MSE-quantizer,":[163],"four":[165],"HVS-motivated":[166],"quantizers":[167],"add":[169],"some":[170],"value":[171],"visually":[172],"without":[173],"incurring":[174],"any":[175],"MSE":[176],"losses.":[177],"A":[178],"combination":[179],"run-length":[181],"empirically":[183],"Huffman":[185],"fixed":[188],"this":[190],"study.":[191]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}