A context based arithmetic image coding using a separate least squares algorithm

G. A. Triantafyllidis; M. G. Strintzis

A context based arithmetic image coding using a separate least squares algorithm

G. A. Triantafyllidis^*, M. G. Strintzis

^*Corresponding author for this work

Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review

Abstract

The overall performance of discrete wavelet transforms for lossless image compression may be further improved by properly designing efficient entropy coders. In this paper a novel technique is proposed for the implementation of context-based adaptive arithmetic entropy coding. It is based on the prediction of the value of the current transform coefficient. The proposed algorithm employs a weighted least squares method applied separately for the HH, HL and LH bands of each level of the multiresolution structure, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique for lossless image compression.

Original language	English
Publication date	2001
Number of pages	4
Publication status	Published - 2001
Event	Proceedings of the 22nd Picture Coding Symposium: PCS-2001 - Seoul, Korea, Republic of Duration: 25 Apr 2001 → 27 Apr 2001

Conference

Conference	Proceedings of the 22nd Picture Coding Symposium: PCS-2001
Country/Territory	Korea, Republic of
City	Seoul
Period	25/04/2001 → 27/04/2001
Sponsor	Korea Institute of Communication Sciences

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title = "A context based arithmetic image coding using a separate least squares algorithm",

abstract = "The overall performance of discrete wavelet transforms for lossless image compression may be further improved by properly designing efficient entropy coders. In this paper a novel technique is proposed for the implementation of context-based adaptive arithmetic entropy coding. It is based on the prediction of the value of the current transform coefficient. The proposed algorithm employs a weighted least squares method applied separately for the HH, HL and LH bands of each level of the multiresolution structure, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique for lossless image compression.",

author = "Triantafyllidis, {G. A.} and Strintzis, {M. G.}",

year = "2001",

language = "English",

pages = "239--242",

note = "Proceedings of the 22nd Picture Coding Symposium: PCS-2001 ; Conference date: 25-04-2001 Through 27-04-2001",

}

A context based arithmetic image coding using a separate least squares algorithm. / Triantafyllidis, G. A.; Strintzis, M. G.
2001. 239-242 Paper presented at Proceedings of the 22nd Picture Coding Symposium: PCS-2001, Seoul, Korea, Republic of.

Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review

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AU - Strintzis, M. G.

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N2 - The overall performance of discrete wavelet transforms for lossless image compression may be further improved by properly designing efficient entropy coders. In this paper a novel technique is proposed for the implementation of context-based adaptive arithmetic entropy coding. It is based on the prediction of the value of the current transform coefficient. The proposed algorithm employs a weighted least squares method applied separately for the HH, HL and LH bands of each level of the multiresolution structure, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique for lossless image compression.

AB - The overall performance of discrete wavelet transforms for lossless image compression may be further improved by properly designing efficient entropy coders. In this paper a novel technique is proposed for the implementation of context-based adaptive arithmetic entropy coding. It is based on the prediction of the value of the current transform coefficient. The proposed algorithm employs a weighted least squares method applied separately for the HH, HL and LH bands of each level of the multiresolution structure, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique for lossless image compression.

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M3 - Paper without publisher/journal

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T2 - Proceedings of the 22nd Picture Coding Symposium: PCS-2001

Y2 - 25 April 2001 through 27 April 2001

ER -

A context based arithmetic image coding using a separate least squares algorithm

Abstract

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