{"id":"https://openalex.org/W2985839107","doi":"https://doi.org/10.1145/3348488.3355180","title":"Effect of Different Block Sizes on the Quality of JPEG-like Compressed Image","display_name":"Effect of Different Block Sizes on the Quality of JPEG-like Compressed Image","publication_year":2019,"publication_date":"2019-07-27","ids":{"openalex":"https://openalex.org/W2985839107","doi":"https://doi.org/10.1145/3348488.3355180","mag":"2985839107"},"language":"en","primary_location":{"id":"doi:10.1145/3348488.3355180","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3348488.3355180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality","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/A5027239613","display_name":"Chengzhi Deng","orcid":"https://orcid.org/0000-0002-6762-5780"},"institutions":[{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengzhi Deng","raw_affiliation_strings":["Shenzhen Research Institute, Wuhan University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Wuhan University, Shenzhen, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461083","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0001-5536-5224"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418037","display_name":"Yulin Wang","orcid":"https://orcid.org/0000-0002-1363-0234"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Wang","raw_affiliation_strings":["Shenzhen Research Institute, Wuhan University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Wuhan University, Shenzhen, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027239613"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12708453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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":0.9973999857902527,"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/jpeg","display_name":"JPEG","score":0.7968906760215759},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7937771081924438},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7606711387634277},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.669844388961792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6327804327011108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6206837892532349},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.595811128616333},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5864455699920654},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5614843964576721},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5610276460647583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5302231907844543},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5290267467498779},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5256807804107666},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44147759675979614},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.4209291934967041},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.4118127226829529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39679861068725586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3198937773704529}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7968906760215759},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7937771081924438},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7606711387634277},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.669844388961792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327804327011108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6206837892532349},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.595811128616333},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5864455699920654},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5614843964576721},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5610276460647583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5302231907844543},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5290267467498779},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5256807804107666},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44147759675979614},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.4209291934967041},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.4118127226829529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39679861068725586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3198937773704529},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3348488.3355180","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3348488.3355180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality","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":5,"referenced_works":["https://openalex.org/W1490463689","https://openalex.org/W1620411516","https://openalex.org/W1844575833","https://openalex.org/W2141143336","https://openalex.org/W2296274957"],"related_works":["https://openalex.org/W1999625740","https://openalex.org/W2560501099","https://openalex.org/W2032656843","https://openalex.org/W3081527322","https://openalex.org/W2023810505","https://openalex.org/W2612631671","https://openalex.org/W2976216445","https://openalex.org/W3121517563","https://openalex.org/W3162084246","https://openalex.org/W1997514168"],"abstract_inverted_index":{"Discrete":[0],"Cosine":[1],"Transform":[2],"(DCT)":[3],"is":[4,18,33,44,49,66],"a":[5,39,80],"common":[6],"method":[7],"in":[8],"image":[9,17,48,65,109],"compression":[10],"processing.":[11],"In":[12,52,91],"this":[13,53],"method,":[14],"the":[15,28,47,55,61,73,92,94,108],"original":[16],"first":[19],"divided":[20],"into":[21],"several":[22],"blocks":[23],"for":[24],"processing,":[25],"and":[26,38,83,114],"then":[27,84],"information":[29],"of":[30,57,63],"each":[31],"pixel":[32],"converted":[34],"to":[35,70,100,106],"frequency":[36,42],"coefficients,":[37],"certain":[40],"high":[41],"component":[43],"discarded,":[45],"thus":[46],"lossy":[50],"compressed.":[51],"paper,":[54],"effect":[56],"block":[58,75,95],"sizes":[59,96],"on":[60],"quality":[62],"decompressed":[64],"studied,":[67],"so":[68],"as":[69],"find":[71],"out":[72],"optimal":[74],"sizes.":[76],"Firstly,":[77],"we":[78],"make":[79],"theoretical":[81],"analysis,":[82],"verify":[85],"my":[86],"analysis":[87],"results":[88],"through":[89],"experiment.":[90],"experiment,":[93],"range":[97],"from":[98],"1x1":[99],"512x512.":[101],"We":[102],"use":[103],"different":[104],"metrics":[105],"evaluate":[107],"quality,":[110],"including":[111],"MSE,":[112],"PSNR":[113],"SSIM.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}