國立虎尾科技大學 |

Efficient compression techniques for multi-dimensional images.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Efficient compression techniques for multi-dimensional images./
作者:	Lalgudi, Hariharan G.
面頁冊數:	1 online resource (89 pages)
附註:	Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2473.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781109113426

Efficient compression techniques for multi-dimensional images.
Lalgudi, Hariharan G.

Efficient compression techniques for multi-dimensional images. - 1 online resource (89 pages)

Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2473.

Thesis (Ph.D.)--The University of Arizona, 2009.

Includes bibliographical references

With advances in imaging and communication systems, there is increased use of multi-dimensional images. Examples include multi-view image/video, hyperspectral image/video and dynamic volume imaging in CT/MRI/Ultrasound. These datasets consume even larger amounts of resources for transmission or storage compared to 2-D images. Hence, it is vital to have efficient compression methods for multidimensional images. In this dissertation, first, a JPEG2000 Part-2 compliant scheme is proposed for compressing multi-dimensional datasets for any dimension N ≥ 3. Secondly, a novel view-compensated compression method is investigated for remote visualization of volumetric data. Experimental results indicate superior compression performance compared to state-of-the-art compression standards. Thirdly, a new scalable low complexity coder is designed that sacrifices some compression efficiency to get substantial gain in throughput. Potential use of the scalable low complexity coder is illustrated for two applications: Airborne video transmission and remote volume visualization.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781109113426Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Efficient compression techniques for multi-dimensional images.
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500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2473.
500 $a Advisers: Michael W. Marcellin; Ali Bilgin.
502 $a Thesis (Ph.D.)--The University of Arizona, 2009.
504 $a Includes bibliographical references
520 $a With advances in imaging and communication systems, there is increased use of multi-dimensional images. Examples include multi-view image/video, hyperspectral image/video and dynamic volume imaging in CT/MRI/Ultrasound. These datasets consume even larger amounts of resources for transmission or storage compared to 2-D images. Hence, it is vital to have efficient compression methods for multidimensional images. In this dissertation, first, a JPEG2000 Part-2 compliant scheme is proposed for compressing multi-dimensional datasets for any dimension N ≥ 3. Secondly, a novel view-compensated compression method is investigated for remote visualization of volumetric data. Experimental results indicate superior compression performance compared to state-of-the-art compression standards. Thirdly, a new scalable low complexity coder is designed that sacrifices some compression efficiency to get substantial gain in throughput. Potential use of the scalable low complexity coder is illustrated for two applications: Airborne video transmission and remote volume visualization.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Arizona. $b Electrical & Computer Engineering. $3 1189571
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