An unwrapping of signal coefficients in transform domain is proposed for applications in which a lossy operation is performed on the coefficients between analysis and synthesis. It is shown that the unwrapping-based modification of signal-to-additive-signal ratio can employ the fact that an implementation of a biorthogonal decomposition is characterized by a mutually orthogonal eigenvectors. An example to illustrate the benefits of the presented approach in lossy image compression applications is shown.
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Pavol ZAVARSKY, Nobuo FUJII, Noriyoshi KAMBAYASHI, Masahiro IWAHASHI, Somchart CHOKCHAITAM, "An Unwrapping of Signals in Transform Domain and Its Application in Signal Reconstruction" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 7, pp. 1765-1771, July 2001, doi: .
Abstract: An unwrapping of signal coefficients in transform domain is proposed for applications in which a lossy operation is performed on the coefficients between analysis and synthesis. It is shown that the unwrapping-based modification of signal-to-additive-signal ratio can employ the fact that an implementation of a biorthogonal decomposition is characterized by a mutually orthogonal eigenvectors. An example to illustrate the benefits of the presented approach in lossy image compression applications is shown.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_7_1765/_p
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@ARTICLE{e84-a_7_1765,
author={Pavol ZAVARSKY, Nobuo FUJII, Noriyoshi KAMBAYASHI, Masahiro IWAHASHI, Somchart CHOKCHAITAM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Unwrapping of Signals in Transform Domain and Its Application in Signal Reconstruction},
year={2001},
volume={E84-A},
number={7},
pages={1765-1771},
abstract={An unwrapping of signal coefficients in transform domain is proposed for applications in which a lossy operation is performed on the coefficients between analysis and synthesis. It is shown that the unwrapping-based modification of signal-to-additive-signal ratio can employ the fact that an implementation of a biorthogonal decomposition is characterized by a mutually orthogonal eigenvectors. An example to illustrate the benefits of the presented approach in lossy image compression applications is shown.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - An Unwrapping of Signals in Transform Domain and Its Application in Signal Reconstruction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1765
EP - 1771
AU - Pavol ZAVARSKY
AU - Nobuo FUJII
AU - Noriyoshi KAMBAYASHI
AU - Masahiro IWAHASHI
AU - Somchart CHOKCHAITAM
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2001
AB - An unwrapping of signal coefficients in transform domain is proposed for applications in which a lossy operation is performed on the coefficients between analysis and synthesis. It is shown that the unwrapping-based modification of signal-to-additive-signal ratio can employ the fact that an implementation of a biorthogonal decomposition is characterized by a mutually orthogonal eigenvectors. An example to illustrate the benefits of the presented approach in lossy image compression applications is shown.
ER -