A novel embedded coding algorithm based on the reconstructed DCT coefficients

Lin Lin Tang; Jeng Shyang Pan; Zhe Ming Lu

doi:10.1007/978-3-642-16696-9_7

A novel embedded coding algorithm based on the reconstructed DCT coefficients

Lin Lin Tang^*
, Jeng Shyang Pan
, Zhe Ming Lu

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
National Kaohsiung University of Science and Technology
Zhejiang University

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

1 Scopus citations

Abstract

As an efficient tool for image compression, wavelet has been widely used in all kinds of image processing areas. Based on the different encoding effects, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded wavelet coding algorithms have been paid more attention in practice. Such as the embedded wavelet coding algorithms, EZW and SPIHT are the outstanding representatives. The only drawback for this wavelet based embedded coding algorithms is the choice of the different wavelet transform base. We propose a novel embedded coding algorithm based on the reconstructed DCT coefficient to avoid the difficulties brought by the choice of wavelet transform base in this paper. The new algorithm's efficiency can be seen from the experimental results.

Original language	English
Title of host publication	Computational Collective Intelligence
Subtitle of host publication	Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings
Pages	56-62
Number of pages	7
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-16696-9_7
State	Published - 2010
Externally published	Yes
Event	2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 - Kaohsiung, Taiwan, Province of China Duration: 10 Nov 2010 → 12 Nov 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	6423 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	10/11/10 → 12/11/10

Keywords

DCT
Embedded wavelet coding algorithm
Image compression

Access to Document

10.1007/978-3-642-16696-9_7

Cite this

Tang, L. L., Pan, J. S., & Lu, Z. M. (2010). A novel embedded coding algorithm based on the reconstructed DCT coefficients. In Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings (PART 3 ed., pp. 56-62). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6423 LNAI, No. PART 3). https://doi.org/10.1007/978-3-642-16696-9_7

Tang, Lin Lin ; Pan, Jeng Shyang ; Lu, Zhe Ming. / A novel embedded coding algorithm based on the reconstructed DCT coefficients. Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 3. ed. 2010. pp. 56-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{e882666fed68489b95692a4432218dbb,

title = "A novel embedded coding algorithm based on the reconstructed DCT coefficients",

abstract = "As an efficient tool for image compression, wavelet has been widely used in all kinds of image processing areas. Based on the different encoding effects, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded wavelet coding algorithms have been paid more attention in practice. Such as the embedded wavelet coding algorithms, EZW and SPIHT are the outstanding representatives. The only drawback for this wavelet based embedded coding algorithms is the choice of the different wavelet transform base. We propose a novel embedded coding algorithm based on the reconstructed DCT coefficient to avoid the difficulties brought by the choice of wavelet transform base in this paper. The new algorithm's efficiency can be seen from the experimental results.",

keywords = "DCT, Embedded wavelet coding algorithm, Image compression",

author = "Tang, \{Lin Lin\} and Pan, \{Jeng Shyang\} and Lu, \{Zhe Ming\}",

year = "2010",

doi = "10.1007/978-3-642-16696-9\_7",

language = "英语",

isbn = "3642166954",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 3",

pages = "56--62",

booktitle = "Computational Collective Intelligence",

edition = "PART 3",

note = "2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 ; Conference date: 10-11-2010 Through 12-11-2010",

}

Tang, LL, Pan, JS & Lu, ZM 2010, A novel embedded coding algorithm based on the reconstructed DCT coefficients. in Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6423 LNAI, pp. 56-62, 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010, Kaohsiung, Taiwan, Province of China, 10/11/10. https://doi.org/10.1007/978-3-642-16696-9_7

A novel embedded coding algorithm based on the reconstructed DCT coefficients. / Tang, Lin Lin; Pan, Jeng Shyang; Lu, Zhe Ming.
Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 3. ed. 2010. p. 56-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6423 LNAI, No. PART 3).

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

TY - GEN

T1 - A novel embedded coding algorithm based on the reconstructed DCT coefficients

AU - Tang, Lin Lin

AU - Pan, Jeng Shyang

AU - Lu, Zhe Ming

PY - 2010

Y1 - 2010

N2 - As an efficient tool for image compression, wavelet has been widely used in all kinds of image processing areas. Based on the different encoding effects, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded wavelet coding algorithms have been paid more attention in practice. Such as the embedded wavelet coding algorithms, EZW and SPIHT are the outstanding representatives. The only drawback for this wavelet based embedded coding algorithms is the choice of the different wavelet transform base. We propose a novel embedded coding algorithm based on the reconstructed DCT coefficient to avoid the difficulties brought by the choice of wavelet transform base in this paper. The new algorithm's efficiency can be seen from the experimental results.

AB - As an efficient tool for image compression, wavelet has been widely used in all kinds of image processing areas. Based on the different encoding effects, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded wavelet coding algorithms have been paid more attention in practice. Such as the embedded wavelet coding algorithms, EZW and SPIHT are the outstanding representatives. The only drawback for this wavelet based embedded coding algorithms is the choice of the different wavelet transform base. We propose a novel embedded coding algorithm based on the reconstructed DCT coefficient to avoid the difficulties brought by the choice of wavelet transform base in this paper. The new algorithm's efficiency can be seen from the experimental results.

KW - DCT

KW - Embedded wavelet coding algorithm

KW - Image compression

UR - https://www.scopus.com/pages/publications/78649527143

U2 - 10.1007/978-3-642-16696-9_7

DO - 10.1007/978-3-642-16696-9_7

M3 - 会议稿件

AN - SCOPUS:78649527143

SN - 3642166954

SN - 9783642166952

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 56

EP - 62

BT - Computational Collective Intelligence

T2 - 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010

Y2 - 10 November 2010 through 12 November 2010

ER -

Tang LL, Pan JS, Lu ZM. A novel embedded coding algorithm based on the reconstructed DCT coefficients. In Computational Collective Intelligence: Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings. PART 3 ed. 2010. p. 56-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-16696-9_7

A novel embedded coding algorithm based on the reconstructed DCT coefficients

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this