{"id":{"repo_id":"unlv","oai_identifier":"oai:oasis.library.unlv.edu:rtds-2209"},"canonical_url":"https://search.dev.ndltd.org/etd/unlv/oai:oasis.library.unlv.edu:rtds-2209","repository":{"repo_id":"unlv","name":"University of Nevada - Las Vegas","base_url":"https://oasis.library.unlv.edu/do/oai/"},"display":{"title":"Progressive transmission of digital images","abstract":"New high-resolution sensors produce very large data sets and associated images requiring large bandwidths or extended times to transmit. Other techniques have been proposed to compress and sort an image to send the most significant portions of the image first, allowing the user to choose the amount of compression applied based on transmission time; but they transmit the image as a whole; Many users are interested in only portions of the image. This case is better served by a transmission method with capabilities to browse the image at low resolution to first pick the portion of interest, followed by transmission of only the portion of interest. The image is decomposed using wavelet multiresolution decomposition; and stored as an increasing succession of resolutions, each building on the resolution before it. This provides a framework to allow selecting only data required to reconstruct the portion of interest.","abstract_html":"New high-resolution sensors produce very large data sets and associated images requiring large bandwidths or extended times to transmit. Other techniques have been proposed to compress and sort an image to send the most significant portions of the image first, allowing the user to choose the amount of compression applied based on transmission time; but they transmit the image as a whole; Many users are interested in only portions of the image. This case is better served by a transmission method with capabilities to browse the image at low resolution to first pick the portion of interest, followed by transmission of only the portion of interest. The image is decomposed using wavelet multiresolution decomposition; and stored as an increasing succession of resolutions, each building on the resolution before it. This provides a framework to allow selecting only data required to reconstruct the portion of interest.","abstract_has_math":false,"creators":["Kraft, Joseph V"],"institution":"University of Nevada, Las Vegas","degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Shahram Latifi"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000-01-01T08:00:00Z","date_published":"2000-01-01T08:00:00Z","updated_at":"2026-07-24T05:25:11Z","subjects":[],"languages":["English"],"rights":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://oasis.library.unlv.edu/rtds/1210"],"render_values":[{"text":"https://oasis.library.unlv.edu/rtds/1210","href":"https://oasis.library.unlv.edu/rtds/1210","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.25669/d9uh-q0hp","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shahram Latifi"]},{"key":"dc:creator","label":"Author","values":["Kraft, Joseph V"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["University of Nevada, Las Vegas"]},{"key":"dc:type","label":"Dc Type","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["IN COPYRIGHT. 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This case is better served by a transmission method with capabilities to browse the image at low resolution to first pick the portion of interest, followed by transmission of only the portion of interest. The image is decomposed using wavelet multiresolution decomposition; and stored as an increasing succession of resolutions, each building on the resolution before it. This provides a framework to allow selecting only data required to reconstruct the portion of interest."]},{"key":"dc:format","label":"Dc Format","values":["pdf"]},{"key":"dc:title","label":"Title","values":["Progressive transmission of digital images"]}]}],"canonical_facts":{"dc:contributor":["Shahram Latifi"],"dc:creator":["Kraft, Joseph V"],"dc:description.abstract":["New high-resolution sensors produce very large data sets and associated images requiring large bandwidths or extended times to transmit. Other techniques have been proposed to compress and sort an image to send the most significant portions of the image first, allowing the user to choose the amount of compression applied based on transmission time; but they transmit the image as a whole; Many users are interested in only portions of the image. This case is better served by a transmission method with capabilities to browse the image at low resolution to first pick the portion of interest, followed by transmission of only the portion of interest. The image is decomposed using wavelet multiresolution decomposition; and stored as an increasing succession of resolutions, each building on the resolution before it. 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