{"id":"https://openalex.org/W1969361425","doi":"https://doi.org/10.1109/icics.2013.6782815","title":"A variable quantization technique for image compression using integer Tchebichef transform","display_name":"A variable quantization technique for image compression using integer Tchebichef transform","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1969361425","doi":"https://doi.org/10.1109/icics.2013.6782815","mag":"1969361425"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2013.6782815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications & Signal 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/A5034944251","display_name":"Soni Prattipati","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"Soni Prattipati","raw_affiliation_strings":["Concordia University, Montreal, QC, CA","Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, CA","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.N.S. Swamy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Concordia Univ., Montre\u0301al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025809855","display_name":"Pramod Kumar Meher","orcid":"https://orcid.org/0000-0003-0992-1159"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"P.K. Meher","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034944251"],"corresponding_institution_ids":["https://openalex.org/I4210148195","https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":1.2768,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78382336,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.9961000084877014,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7299143671989441},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7261910438537598},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6525483131408691},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6475801467895508},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5941900610923767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5154350996017456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.506939709186554},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4463358521461487},{"id":"https://openalex.org/keywords/trellis-quantization","display_name":"Trellis quantization","score":0.44025281071662903},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.4285689890384674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3734899163246155},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3401597738265991},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3238752782344818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3208514451980591},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28526461124420166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2431207001209259}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7299143671989441},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7261910438537598},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6525483131408691},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6475801467895508},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5941900610923767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5154350996017456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.506939709186554},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4463358521461487},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.44025281071662903},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.4285689890384674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3734899163246155},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3401597738265991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3238752782344818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3208514451980591},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28526461124420166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2431207001209259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2013.6782815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications & Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2062271532","https://openalex.org/W2124041826","https://openalex.org/W2135883983","https://openalex.org/W2148248162","https://openalex.org/W2150117469","https://openalex.org/W2158664566","https://openalex.org/W2161247013","https://openalex.org/W2168294090","https://openalex.org/W2283937006","https://openalex.org/W6666114497","https://openalex.org/W6695329436"],"related_works":["https://openalex.org/W2258231948","https://openalex.org/W2112852877","https://openalex.org/W2068397735","https://openalex.org/W2129927873","https://openalex.org/W1526582691","https://openalex.org/W1706111048","https://openalex.org/W4232796001","https://openalex.org/W2466192241","https://openalex.org/W2128143396","https://openalex.org/W2992856432"],"abstract_inverted_index":{"In":[0],"the":[1,31,43,89,94,97,119,126,129],"field":[2,44],"of":[3,27,30,45,52,84,93,99,128,143],"image":[4,95,101,130,140],"and":[5,21,54,91,113,146,152,157],"data":[6],"compression":[7,47,123,141],"there":[8,58],"is":[9,40,104],"always":[10],"a":[11,115],"need":[12],"for":[13],"novel":[14],"transform":[15,35,67],"coding":[16],"techniques":[17],"promising":[18],"improved":[19],"reconstruction":[20],"reduced":[22],"computational":[23,135],"complexity.":[24],"The":[25,82,139],"usage":[26],"integer":[28,144,147],"adaptation":[29],"popular":[32],"discrete":[33,65],"cosine":[34],"(DCT)":[36],"with":[37],"fixed":[38,153],"quantization":[39,120],"prevalent":[41],"in":[42,80],"video":[46],"due":[48],"to":[49,109,117,125],"its":[50],"ease":[51],"computation":[53],"acceptable":[55],"performance.":[56],"However,":[57],"exist":[59],"other":[60],"polynomial-based":[61],"orthogonal":[62],"transforms":[63],"like":[64,73],"Tchebichef":[66],"(DTT),":[68],"which":[69],"possess":[70],"valuable":[71],"properties":[72],"energy":[74],"compaction,":[75],"but":[76],"are":[77,155],"potentially":[78],"unexploited":[79],"comparison.":[81],"influence":[83],"specific":[85],"features,":[86],"such":[87],"as":[88],"structure":[90],"content,":[92],"on":[96],"quality":[98],"reconstructed":[100],"after":[102],"decompression":[103],"undeniable.":[105],"This":[106],"paper":[107],"aims":[108],"harness":[110],"this":[111],"aspect":[112],"introduces":[114],"technique":[116],"adapt":[118],"performed":[121],"during":[122],"according":[124],"characteristics":[127],"block":[131],"without":[132],"any":[133],"additional":[134],"or":[136],"transmission":[137],"overhead.":[138],"performance":[142],"DTT":[145],"DCT,":[148],"using":[149],"both":[150],"variable":[151],"quantization,":[154],"evaluated":[156],"compared.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}