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Tile boundary artifact reduction algorithms for tile size conversion of wavelet image
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Source International Multimedia Conference archive
Proceedings of the tenth ACM international conference on Multimedia table of contents
Juan-les-Pins, France
SESSION: Session 4: video processing and transformation table of contents
Pages: 97 - 105  
Year of Publication: 2002
ISBN:1-58113-620-X
Authors
Masayuki HASHIMOTO  KDDI R&D Laboratories Inc., 2-1-15 Ohara, Kamifukuoka-shi, Saitama, Japan
Kenji MATSUO  KDDI R&D Laboratories Inc., 2-1-15 Ohara, Kamifukuoka-shi, Saitama, Japan
Atsushi KOIKE  KDDI R&D Laboratories Inc., 2-1-15 Ohara, Kamifukuoka-shi, Saitama, Japan
Yasuyuki NAKAJIMA  KDDI R&D Laboratories Inc., 2-1-15 Ohara, Kamifukuoka-shi, Saitama, Japan
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes the tile size conversion method for the wavelet image transcoding gateway and a set of methods to reduce the tile boundary artifacts caused by the conversion.In the wavelet image coding system represented by JPEG2000, pictures are usually divided into one or more tiles and each tile then transformed separately. On low memory terminals such as mobile terminals, some decoders are likely to have limits on what tile sizes they can decode. Assuming a system using these limited decoders, methods were investigated for converting the tile size quickly and automatically at the gateway when image data with a non-decodable tile size is received at the gateway from another system. Furthermore, tile boundary artifacts reduction methods are investigated. This paper proposes a basic method, which creates a tiled wavelet coefficient sequence from a non-tiled wavelet coefficient sequence. This paper also verifies the validity of the proposed scheme by implementing it with a 5x3 reversible filter and a 9x7 irreversible filter.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ISO/IEC 15444-1, "Information technology -- JPEG2000 image coding system -- Part 1: Core coding system," ISO/IEC JTC 1/SC 29/WG1, Jan. 2001.
 
2
JPEG2000 Verification Model 9.0 (Software), ISO/IEC JTC 1/SC 29/WG 1 N2131, Apr. 2001.
 
3
 
4
C. Christopoulos, A. Skodras, T. Ebrahimi, The JPEG2000 still image coding system: an overview, IEEE Trans. Consumer Electron. 46 (4) (November 2000) 1103--1127.
 
5
A. Skodras, C. Christopoulos and T. Ebrahimi: "The JPEG2000 Still Image Compression Standard," IEEE Signal Processing Magazine, pp. 36--58, (Sept. 2001).
 
6
J.M. Shapiro, Embedded image coding using zerotrees of wavelet coefficients, IEEE Trans. Signal Processing, 41 (December 1993) 3445--3462.
 
7
M. Antonini, M. Barlaud, P. Mathieu and I. Daubechies, Image coding using wavelet transform, IEEE Trans. Image Processing, 1 (2) (April 1992) 205--220.
 
8
C. Chrysafis, A. Ortega, Line-based, reduced memory, wavelet image compression, IEEE Trans. Image Processing, 9 (3) (March 2000) 378--389.
 
9
J. D. Villasenor, B. Belzer, J. Liao, Wavelet filter evaluation for image compression, IEEE Trans. Image Processing, 4 (8) (August 1995) 1053--1060.
 
10
W. Sweldens, I. Daubechies, Factoring Wavelet Transforms into Lifting Steps, J. Fourier Anal. Appl., 4 (3) (1998) 247--269.
 
11
W. Seweldens, The lifting scheme: a custom-design construction of biorthogonal wavelets, Appl. Comput. Harmon. Anal. 3 (2) (1996) 186--200.
 
12
R. C. Calderbank, I. Daubechies, W. Sweldens, Boon-Lock Yeo, Wavelet Transforms that Map Integers to Integers, Appl. Comput. Harmon. Anal. 5 (3) (1998) 332--369.
 
13
J. Reichel, G. Menegaz, M.J. Nadenau and M. Kunt, Integer wavelet transform for embedded lossy to lossless image compression, IEEE Trans. Image Processing, 10 (3) (2001) 383--392.
 
14
F. Sheng, A. Bilgin, P.J. Sementilli and M.W. Marcellin, Lossy and lossless image compression using reversible integer wavelet transforms, in Proceedings 1998 International Conference on Image Processing. (Los Alamitos, CA, 1998), IEEE Press 3, 876--880.
 
15
M.D. Adams and F. Kossentini, Reversible integer-to-integer wavelet transforms for image compression: Performance evaluation and analysis, IEEE Trans. Image Processing, 9 (June 2000) 1010--1024.
Collaborative Colleagues:
Masayuki HASHIMOTO: colleagues
Kenji MATSUO: colleagues
Atsushi KOIKE: colleagues
Yasuyuki NAKAJIMA: colleagues

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