Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3065
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kasparis, Takis | - |
dc.contributor.author | Memon, Qurban A. | - |
dc.contributor.other | Κασπαρής, Τάκης | - |
dc.date.accessioned | 2013-02-18T13:41:52Z | en |
dc.date.accessioned | 2013-05-17T05:33:54Z | - |
dc.date.accessioned | 2015-12-02T12:33:16Z | - |
dc.date.available | 2013-02-18T13:41:52Z | en |
dc.date.available | 2013-05-17T05:33:54Z | - |
dc.date.available | 2015-12-02T12:33:16Z | - |
dc.date.issued | 1996-06-07 | - |
dc.identifier.citation | The International Society for Optical Engineering, 1996, Volume 2751, Pages 26-35 | en_US |
dc.identifier.isbn | 0819421324 | - |
dc.description.abstract | The objective of data encoding is to transform a data array into a statistically uncorrelated set. This step is typically considered a 'decorrelation' step because in the case of unitary transformations, the resulting transform coefficients are relatively uncorrelated. Most unitary transforms have the tendency to compact the signal energy into relatively few coefficients. The compaction of energy thus achieved permits a prioritization of the spectral coefficients with the most energetic ones receiving a greater allocation of encoding bits. There are various transforms such as Karhunen-Loeve, discrete cosine transforms etc., but the choice depends on the particular application. In this paper, we apply an approximate Fourier expansion (AFE) to sampled one-dimensional signals and images, and investigate some mathematical properties of the expansion. Additionally, we extend the expansion to an approximate cosine expansion (ACE) and show that for purposes of data compression with minimum error reconstruction of images, the performance of ACE is better than AFE. For comparison purposes, the results also are compared with discrete cosine transform (DCT). | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © 1996 SPIE | en_US |
dc.subject | Image reconstruction | en_US |
dc.subject | Performance | en_US |
dc.subject | Data processing | en_US |
dc.title | Approximate trigonometric expansions with applications to image encoding | en_US |
dc.type | Conference Papers | en_US |
dc.affiliation | University of Central Florida | en |
dc.collaboration | University of Central Florida | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | SPIE Conference Proceedings | en_US |
dc.identifier.doi | 10.1117/12.242017 | en_US |
dc.dept.handle | 123456789/54 | en |
cut.common.academicyear | 1995-1996 | en_US |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.openairetype | conferenceObject | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-3486-538x | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
CORE Recommender
Page view(s) 20
372
Last Week
3
3
Last month
7
7
checked on May 17, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.