Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping

Chang Su Kim; Rin Chul Kim; Sang Uk Lee

doi:10.1109/83.663508

Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping

Chang Su Kim, Rin Chul Kim, Sang Uk Lee

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

Abstract

We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ranging from 40-250 kbyte/s.

Original language	English
Pages (from-to)	601-605
Number of pages	5
Journal	IEEE Transactions on Image Processing
Volume	7
Issue number	4
DOIs	https://doi.org/10.1109/83.663508
Publication status	Published - 1998
Externally published	Yes

Bibliographical note

Funding Information:
Manuscript received February 12, 1996; revised May 14, 1997. This work was supported by Samsung Electronics Company. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Michael W. Marcellin.

Keywords

Fractal
Image coding

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/83.663508

Cite this

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abstract = "We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ranging from 40-250 kbyte/s.",

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author = "Kim, {Chang Su} and Kim, {Rin Chul} and Lee, {Sang Uk}",

note = "Funding Information: Manuscript received February 12, 1996; revised May 14, 1997. This work was supported by Samsung Electronics Company. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Michael W. Marcellin.",

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AU - Kim, Rin Chul

AU - Lee, Sang Uk

N1 - Funding Information: Manuscript received February 12, 1996; revised May 14, 1997. This work was supported by Samsung Electronics Company. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Michael W. Marcellin.

PY - 1998

Y1 - 1998

N2 - We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ranging from 40-250 kbyte/s.

AB - We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ranging from 40-250 kbyte/s.

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Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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