{"id":"https://openalex.org/W1480186588","doi":"https://doi.org/10.1109/dcc.1996.488367","title":"Elements of adaptive wavelet image compression","display_name":"Elements of adaptive wavelet image compression","publication_year":2002,"publication_date":"2002-12-23","ids":{"openalex":"https://openalex.org/W1480186588","doi":"https://doi.org/10.1109/dcc.1996.488367","mag":"1480186588"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.1996.488367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488367","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/A5028490575","display_name":"Richard D. Forkert","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":"R.D. Forkert","raw_affiliation_strings":["Image Processing Research Laboratory, MITRE Corporation, Bedford, MA, USA","Image Processing Res. Lab., Mitre Corp., Bedford, MA, USA"],"affiliations":[{"raw_affiliation_string":"Image Processing Research Laboratory, MITRE Corporation, Bedford, MA, USA","institution_ids":["https://openalex.org/I44896327"]},{"raw_affiliation_string":"Image Processing Res. Lab., Mitre Corp., Bedford, MA, USA","institution_ids":["https://openalex.org/I44896327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028490575"],"corresponding_institution_ids":["https://openalex.org/I44896327"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02440509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9927999973297119,"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":0.9927999973297119,"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/T10320","display_name":"Neural Networks and Applications","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9071000218391418,"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/huffman-coding","display_name":"Huffman coding","score":0.9046737551689148},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6906181573867798},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6268284320831299},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5846998691558838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5676702857017517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5620354413986206},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49758031964302063},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4916384816169739},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.48235172033309937},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.45689934492111206},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.45310068130493164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42865657806396484},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.41627931594848633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38818058371543884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.370488703250885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32876741886138916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28228524327278137},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2655358910560608}],"concepts":[{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.9046737551689148},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6906181573867798},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6268284320831299},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5846998691558838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5676702857017517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5620354413986206},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49758031964302063},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4916384816169739},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.48235172033309937},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.45689934492111206},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.45310068130493164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42865657806396484},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.41627931594848633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38818058371543884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370488703250885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32876741886138916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28228524327278137},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2655358910560608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.1996.488367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1996.488367","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3154960554","https://openalex.org/W1557642114","https://openalex.org/W1762028264","https://openalex.org/W3210332869","https://openalex.org/W2082705439","https://openalex.org/W1581737654","https://openalex.org/W2357231169","https://openalex.org/W4327499886","https://openalex.org/W2128890367","https://openalex.org/W2025608254"],"abstract_inverted_index":{"The":[0],"adaptive":[1],"wavelet":[2,61],"image":[3,12,21],"compression":[4,13,67],"(AWIC)":[5],"algorithm":[6],"is":[7,32],"a":[8,33],"fast,":[9],"simple":[10],"wavelet-based":[11],"technique":[14,34],"that":[15,39],"follows":[16],"the":[17,60],"classical":[18],"paradigm":[19],"of":[20,30,35,59],"transformation,":[22],"quantization,":[23],"and":[24,54],"entropy":[25],"encoding.":[26],"A":[27],"key":[28],"component":[29],"AWIC":[31],"channel":[36],"symbol":[37],"definition":[38],"provides":[40],"greatly":[41],"reduced":[42],"Huffman":[43,49],"table":[44],"encoding":[45],"costs,":[46],"allowing":[47],"optimal":[48],"codewords":[50],"to":[51],"be":[52],"generated":[53],"used":[55],"for":[56,66],"each":[57],"level":[58],"transformed":[62],"image.":[63],"Further":[64],"optimizations":[65],"performance":[68],"were":[69],"achieved":[70],"through":[71],"empirical":[72],"studies.":[73]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}