Projection-based spatially adaptive reconstruction of block transform compressed images

Yongyi Yang; Nikolas P. Galatsanos; Aggelos K. Katsaggelos

Projection-based spatially adaptive reconstruction of block transform compressed images

Yongyi Yang^*, Nikolas P. Galatsanos, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

6 Scopus citations

Abstract

In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	1477-1488
Number of pages	12
Volume	2308
Edition	p 3
ISBN (Print)	081941638X
State	Published - Dec 1 1994
Event	Visual Communications and Image Processing '94 - Chicago, IL, USA Duration: Sep 25 1994 → Sep 29 1994

Other

Other	Visual Communications and Image Processing '94
City	Chicago, IL, USA
Period	9/25/94 → 9/29/94

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

Cite this

@inproceedings{e8d4a21f3e4d4c56bdb248f23623a3db,

title = "Projection-based spatially adaptive reconstruction of block transform compressed images",

abstract = "In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.",

author = "Yongyi Yang and Galatsanos, {Nikolas P.} and Katsaggelos, {Aggelos K.}",

year = "1994",

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booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Visual Communications and Image Processing '94 ; Conference date: 25-09-1994 Through 29-09-1994",

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Yang, Y, Galatsanos, NP & Katsaggelos, AK 1994, Projection-based spatially adaptive reconstruction of block transform compressed images. in Proceedings of SPIE - The International Society for Optical Engineering. p 3 edn, vol. 2308, Society of Photo-Optical Instrumentation Engineers, pp. 1477-1488, Visual Communications and Image Processing '94, Chicago, IL, USA, 9/25/94.

Projection-based spatially adaptive reconstruction of block transform compressed images. / Yang, Yongyi; Galatsanos, Nikolas P.; Katsaggelos, Aggelos K.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2308 p 3. ed. Society of Photo-Optical Instrumentation Engineers, 1994. p. 1477-1488.

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

TY - GEN

T1 - Projection-based spatially adaptive reconstruction of block transform compressed images

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AU - Galatsanos, Nikolas P.

AU - Katsaggelos, Aggelos K.

PY - 1994/12/1

Y1 - 1994/12/1

N2 - In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.

AB - In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.

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M3 - Conference contribution

AN - SCOPUS:0028754185

SN - 081941638X

VL - 2308

SP - 1477

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BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Society of Photo-Optical Instrumentation Engineers

T2 - Visual Communications and Image Processing '94

Y2 - 25 September 1994 through 29 September 1994

ER -

Projection-based spatially adaptive reconstruction of block transform compressed images

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