Two-layer image resizing for scalable codec

Ci Wang; Ping Xue; Weisi Lin

doi:10.1109/ICME.2006.262816

Two-layer image resizing for scalable codec

Ci Wang^*
, Ping Xue
, Weisi Lin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Resizing compressed images is often needed for different display, storage and transmission. Based on the analysis of energy reserving capacity for different basis vectors, we propose a two-layer downsizing scheme, where the elementary layer represents the low frequency components of the image, while some high frequency details can be recovered from the enhancement layer. The new method provides a solution for low definition image scalable transmission, at the same time, provides a potential tool to rationally recover the high definition information. Experimental results show that the new scheme exhibits better picture quality than some current downsizing approaches, with a comparable computational cost.

Original language	English
Title of host publication	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages	1457-1460
Number of pages	4
DOIs	https://doi.org/10.1109/ICME.2006.262816
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada Duration: 9 Jul 2006 → 12 Jul 2006

Publication series

Name	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume	2006

Conference

Conference	2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Country/Territory	Canada
City	Toronto, ON
Period	9/07/06 → 12/07/06

Access to Document

10.1109/ICME.2006.262816

Cite this

@inproceedings{0404bc0256f84e0882902883cbd42cf8,

title = "Two-layer image resizing for scalable codec",

abstract = "Resizing compressed images is often needed for different display, storage and transmission. Based on the analysis of energy reserving capacity for different basis vectors, we propose a two-layer downsizing scheme, where the elementary layer represents the low frequency components of the image, while some high frequency details can be recovered from the enhancement layer. The new method provides a solution for low definition image scalable transmission, at the same time, provides a potential tool to rationally recover the high definition information. Experimental results show that the new scheme exhibits better picture quality than some current downsizing approaches, with a comparable computational cost.",

author = "Ci Wang and Ping Xue and Weisi Lin",

year = "2006",

doi = "10.1109/ICME.2006.262816",

language = "英语",

isbn = "1424403677",

series = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings",

pages = "1457--1460",

booktitle = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings",

note = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 ; Conference date: 09-07-2006 Through 12-07-2006",

}

Wang, C, Xue, P & Lin, W 2006, Two-layer image resizing for scalable codec. in 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings., 4036885, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, vol. 2006, pp. 1457-1460, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006, Toronto, ON, Canada, 9/07/06. https://doi.org/10.1109/ICME.2006.262816

Two-layer image resizing for scalable codec. / Wang, Ci; Xue, Ping; Lin, Weisi.
2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. 2006. p. 1457-1460 4036885 (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Two-layer image resizing for scalable codec

AU - Wang, Ci

AU - Xue, Ping

AU - Lin, Weisi

PY - 2006

Y1 - 2006

N2 - Resizing compressed images is often needed for different display, storage and transmission. Based on the analysis of energy reserving capacity for different basis vectors, we propose a two-layer downsizing scheme, where the elementary layer represents the low frequency components of the image, while some high frequency details can be recovered from the enhancement layer. The new method provides a solution for low definition image scalable transmission, at the same time, provides a potential tool to rationally recover the high definition information. Experimental results show that the new scheme exhibits better picture quality than some current downsizing approaches, with a comparable computational cost.

AB - Resizing compressed images is often needed for different display, storage and transmission. Based on the analysis of energy reserving capacity for different basis vectors, we propose a two-layer downsizing scheme, where the elementary layer represents the low frequency components of the image, while some high frequency details can be recovered from the enhancement layer. The new method provides a solution for low definition image scalable transmission, at the same time, provides a potential tool to rationally recover the high definition information. Experimental results show that the new scheme exhibits better picture quality than some current downsizing approaches, with a comparable computational cost.

UR - https://www.scopus.com/pages/publications/34247645579

U2 - 10.1109/ICME.2006.262816

DO - 10.1109/ICME.2006.262816

M3 - 会议稿件

AN - SCOPUS:34247645579

SN - 1424403677

SN - 9781424403677

T3 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

SP - 1457

EP - 1460

BT - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

T2 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006

Y2 - 9 July 2006 through 12 July 2006

ER -

Two-layer image resizing for scalable codec

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this