Image reconstruction for hybrid video coding systems

Qin Fan Zhu; Yao Wang; Leonard Shaw

doi:10.1109/DCC.1992.227458

Image reconstruction for hybrid video coding systems

Qin Fan Zhu, Yao Wang, Leonard Shaw

Electrical and Computer Engineering

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

Abstract

This paper presents a new technique for image reconstruction from partially received information for hybrid video coding systems using DCT and motion compensated prediction and interpolation. The technique makes use of the smoothness property of typical video signals by requiring the reconstructed samples be smoothly connected with their adjacent samples, both spatially and temporally. This is fulfilled by minimizing the differences between neighboring pixels in the current as well as adjacent frames. The optimal solution is obtained through three linear transformations. This approach can yield more satisfactory results than the existing algorithms, especially for images with large motions or scene changes.

Original language	English (US)
Title of host publication	Data Compression Conference, DCC 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	229-238
Number of pages	10
ISBN (Electronic)	0818627174
DOIs	https://doi.org/10.1109/DCC.1992.227458
State	Published - 1992
Event	1992 Data Compression Conference, DCC 1992 - Snowbird, United States Duration: Mar 24 1992 → Mar 27 1992

Publication series

Name	Data Compression Conference Proceedings
Volume	1992-March
ISSN (Print)	1068-0314

Conference

Conference	1992 Data Compression Conference, DCC 1992
Country/Territory	United States
City	Snowbird
Period	3/24/92 → 3/27/92

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/DCC.1992.227458

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Zhu, QF, Wang, Y & Shaw, L 1992, Image reconstruction for hybrid video coding systems. in Data Compression Conference, DCC 1992., 227458, Data Compression Conference Proceedings, vol. 1992-March, Institute of Electrical and Electronics Engineers Inc., pp. 229-238, 1992 Data Compression Conference, DCC 1992, Snowbird, United States, 3/24/92. https://doi.org/10.1109/DCC.1992.227458

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abstract = "This paper presents a new technique for image reconstruction from partially received information for hybrid video coding systems using DCT and motion compensated prediction and interpolation. The technique makes use of the smoothness property of typical video signals by requiring the reconstructed samples be smoothly connected with their adjacent samples, both spatially and temporally. This is fulfilled by minimizing the differences between neighboring pixels in the current as well as adjacent frames. The optimal solution is obtained through three linear transformations. This approach can yield more satisfactory results than the existing algorithms, especially for images with large motions or scene changes.",

author = "Zhu, {Qin Fan} and Yao Wang and Leonard Shaw",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 Data Compression Conference, DCC 1992 ; Conference date: 24-03-1992 Through 27-03-1992",

year = "1992",

doi = "10.1109/DCC.1992.227458",

language = "English (US)",

series = "Data Compression Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Wang, Yao

AU - Shaw, Leonard

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N2 - This paper presents a new technique for image reconstruction from partially received information for hybrid video coding systems using DCT and motion compensated prediction and interpolation. The technique makes use of the smoothness property of typical video signals by requiring the reconstructed samples be smoothly connected with their adjacent samples, both spatially and temporally. This is fulfilled by minimizing the differences between neighboring pixels in the current as well as adjacent frames. The optimal solution is obtained through three linear transformations. This approach can yield more satisfactory results than the existing algorithms, especially for images with large motions or scene changes.

AB - This paper presents a new technique for image reconstruction from partially received information for hybrid video coding systems using DCT and motion compensated prediction and interpolation. The technique makes use of the smoothness property of typical video signals by requiring the reconstructed samples be smoothly connected with their adjacent samples, both spatially and temporally. This is fulfilled by minimizing the differences between neighboring pixels in the current as well as adjacent frames. The optimal solution is obtained through three linear transformations. This approach can yield more satisfactory results than the existing algorithms, especially for images with large motions or scene changes.

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M3 - Conference contribution

AN - SCOPUS:13044295405

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EP - 238

BT - Data Compression Conference, DCC 1992

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 Data Compression Conference, DCC 1992

Y2 - 24 March 1992 through 27 March 1992

ER -

Image reconstruction for hybrid video coding systems

Abstract

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