An Improved Block Stitching Method based on Bidimensional Empirical Mode Decomposition
- Chun Wu, Wenbo Wang
- Corresponding Author
- Chun Wu
Available Online March 2016.
- https://doi.org/10.2991/iceti-16.2016.25How to use a DOI?
- blocked Bieimensional Empirical Mode Decomposition(BEMD) ,symmetry similarity variance, blocking artifact, self-adaption splicing,radial basis function
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/iceti-16.2016.25 ID - Wu2016/03 ER -