{"id":"https://openalex.org/W2504197855","doi":"https://doi.org/10.1201/b12985-19","title":"Progressive Data Access for Regular Grids","display_name":"Progressive Data Access for Regular Grids","publication_year":2012,"publication_date":"2012-10-25","ids":{"openalex":"https://openalex.org/W2504197855","doi":"https://doi.org/10.1201/b12985-19","mag":"2504197855"},"language":"en","primary_location":{"id":"doi:10.1201/b12985-19","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b12985-19","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"High Performance Visualization","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3051,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61989138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9696000218391418,"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"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9696000218391418,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9663000106811523,"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":0.9333000183105469,"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/computer-science","display_name":"Computer science","score":0.5167781114578247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.33772510290145874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167781114578247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.33772510290145874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/b12985-19","is_oa":false,"landing_page_url":"https://doi.org/10.1201/b12985-19","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"High Performance Visualization","raw_type":"book-chapter"}],"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/W1973201886","https://openalex.org/W1975358183","https://openalex.org/W2050880896","https://openalex.org/W2058243224","https://openalex.org/W2154074774"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2141795027","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2358668433","https://openalex.org/W3186982001","https://openalex.org/W2137941439"],"abstract_inverted_index":{"Computational":[0],"Information":[1],"Systems":[2],"Laboratory,":[3],"National":[4],"Center":[5],"for":[6,872],"Atmospheric":[7],"Research8.1":[8],"Introduction":[9],".":[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864],"145":[64],"8.2":[65],"Preliminaries":[66],"146":[120],"8.3":[121],"Z-Order":[122],"Curves":[123],"1478.3.1":[174],"Constructing":[175],"the":[176,881,887,904,909,915,923,928,931,943],"Curve":[177],"149":[211],"8.3.2":[212],"Progressive":[213],"Access":[214],"1498.4":[254],"Wavelets":[255,387],"151":[314],"8.4.1":[315],"Linear":[316],"Decomposition":[317],"153":[353],"8.4.2":[354],"Scaling":[355],"and":[356,388,938],"Wavelet":[357,621],"Functions":[358],"154":[385],"8.4.3":[386],"Filter":[389],"Banks":[390],"156":[421],"8.4.4":[422],"Compression":[423],"158":[469],"8.4.5":[470],"Boundary":[471],"Handling":[472],"159":[511],"8.4.6":[512],"Multiple":[513],"Dimensions":[514],"164":[552],"8.4.7":[553],"Implementation":[554],"Considerations":[555],"1648.4.7.1":[581],"Blocking":[582],"165":[619,652],"8.4.7.2":[620],"Choice":[622],"8.4.7.3":[653],"Coe\ufb03cient":[654],"Addressing":[655],"1668.4.8":[677],"A":[678],"Hybrid":[679],"Approach":[680],"166":[718],"8.4.9":[719],"Volume":[720],"Rendering":[721],"Example":[722],"1678.5":[752],"Further":[753],"Reading":[754],"167":[805],"References":[806],"169This":[865],"chapter":[866],"presents":[867],"three":[868],"progressive":[869],"re\ufb01nement":[870],"methods":[871,882],"data":[873],"sampled":[874],"on":[875,885,903],"a":[876],"regular":[877],"grid.":[878],"Two":[879],"of":[880,908,918],"are":[883],"based":[884,902],"multiresolution:":[886],"grid":[888],"may":[889],"be":[890],"coarsened":[891],"or":[892,949],"re\ufb01ned":[893],"as":[894],"needed":[895],"by":[896],"dyadic":[897],"factors.":[898],"The":[899],"third":[900],"is":[901,925],"energy":[905],"compaction":[906],"properties":[907],"discrete":[910],"wavelet":[911],"transform,":[912],"which":[913],"enables":[914],"sparse":[916],"representation":[917],"signals.":[919],"In":[920],"all":[921],"cases,":[922],"objective":[924],"to":[926,933,942],"a\ufb00ord":[927],"end":[929],"user":[930],"ability":[932],"make":[934],"trade-o\ufb00s":[935],"between":[936],"\ufb01delity":[937],"speed,":[939],"in":[940],"response":[941],"available":[944],"computing":[945],"resources,":[946],"when":[947],"visualizing":[948],"analyzing":[950],"large":[951],"data.":[952]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
