SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling

AM Achim; P Tsakalides; A Bezerianos

doi:10.1109/TGRS.2003.813488

SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling

AM Achim, P Tsakalides, A Bezerianos

Department of Electrical & Electronic Engineering

Research output: Contribution to journal › Article (Academic Journal) › peer-review

402 Citations (Scopus)

Abstract

First to introduce the concept of MDC in a H.264 framework. Exploiting the Flexible Macroblock ordering features of MPEG-4(AVC), we have produced a system that retains a degree of standard compliance while offering enhanced robustness through support of path diversity. This work is now being pulled through into applications of mapping video to channels in a MIMO wireless LANs.

Translated title of the contribution	SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling
Original language	English
Pages (from-to)	1773 - 1784
Number of pages	12
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	40 (8)
DOIs	https://doi.org/10.1109/TGRS.2003.813488
Publication status	Published - Aug 2003

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Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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10.1109/TGRS.2003.813488

http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=1221775&isnumber=27441&punumber=36&k2dockey=1221775@ieeejrns&query=%28+%28+achim%3Cin%3Eau+%29+%29+%3Cand%3E+%28pyr+%3E%3D+2003+%3Cand%3E+pyr+%3C%3D+2006%29&pos=1

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title = "SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling",

abstract = "First to introduce the concept of MDC in a H.264 framework. Exploiting the Flexible Macroblock ordering features of MPEG-4(AVC), we have produced a system that retains a degree of standard compliance while offering enhanced robustness through support of path diversity. This work is now being pulled through into applications of mapping video to channels in a MIMO wireless LANs.",

author = "AM Achim and P Tsakalides and A Bezerianos",

note = "Publisher: Institute of Electrical and Electronics Engineers (IEEE)",

year = "2003",

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doi = "10.1109/TGRS.2003.813488",

language = "English",

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T1 - SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling

AU - Achim, AM

AU - Tsakalides, P

AU - Bezerianos, A

N1 - Publisher: Institute of Electrical and Electronics Engineers (IEEE)

PY - 2003/8

Y1 - 2003/8

N2 - First to introduce the concept of MDC in a H.264 framework. Exploiting the Flexible Macroblock ordering features of MPEG-4(AVC), we have produced a system that retains a degree of standard compliance while offering enhanced robustness through support of path diversity. This work is now being pulled through into applications of mapping video to channels in a MIMO wireless LANs.

AB - First to introduce the concept of MDC in a H.264 framework. Exploiting the Flexible Macroblock ordering features of MPEG-4(AVC), we have produced a system that retains a degree of standard compliance while offering enhanced robustness through support of path diversity. This work is now being pulled through into applications of mapping video to channels in a MIMO wireless LANs.

U2 - 10.1109/TGRS.2003.813488

DO - 10.1109/TGRS.2003.813488

M3 - Article (Academic Journal)

VL - 40 (8)

SP - 1773

EP - 1784

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

ER -

SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling

Abstract

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