An Improved Block Stitching Method based on Bidimensional Empirical Mode Decomposition

DOI

10.2991/iceti-16.2016.25How to use a DOI?

Keywords

blocked Bieimensional Empirical Mode Decomposition(BEMD) ,symmetry similarity variance, blocking artifact, self-adaption splicing,radial basis function

Abstract

The bidimensional empirical mode decomposition based on block partitioning(BBEMD) by using of radial basis function interpolation reduces the computational cost, but the blocking artefact is noticeable in the resulting mode. For alleviating the blocking artefact problem, we proposed a modified BBEMD. We calculate the enlargement size of each image block by the minimal symmetry resemblance variance of adjacent blocks, and integrate the decomposing results through a self-adaptive seamless splicing method.The experimental results demonstrate the effectiveness of the proposed method in alleviating the blocking artefact.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun Wu
AU  - Wenbo Wang
PY  - 2016/03
DA  - 2016/03
TI  - An Improved Block Stitching Method based on Bidimensional Empirical Mode Decomposition
BT  - Proceedings of the 2016 International Conference on Engineering and Technology Innovations
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceti-16.2016.25
DO  - 10.2991/iceti-16.2016.25
ID  - Wu2016/03
ER  -