An Efficient Image Mosaic Algorithm Based on EMD Transform

DOI

10.2991/fmsmt-17.2017.121How to use a DOI?

Keywords

empirical mode decomposition (EMD), image compression, image mosaic, Harris algorithm.

Abstract

This paper proposes an image mosaic algorithm based on empirical mode decomposition (EMD) transform. A complete, fast and efficient EMD image decomposition algorithm is used to decompose the image, and the inverse discrete cosine transform (IDCT) is performed on the result of the transformation. After the interpolation operation, the compressed image is obtained. Then, the Harris algorithm is used to extract the feature points and match these points. The accuracy of the feature point registration is improved by using the triangular area of the first and second adjacent points, and the EMD algorithm is used to compress the image, which greatly reduces the time of image splicing.

Copyright

© 2017, 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  - Yi-jun Wang
AU  - Sen Wei
PY  - 2017/04
DA  - 2017/04
TI  - An Efficient Image Mosaic Algorithm Based on EMD Transform
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 605
EP  - 609
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.121
DO  - 10.2991/fmsmt-17.2017.121
ID  - Wang2017/04
ER  -