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Proceedings Paper

Image decomposition based on modified bidimensional empirical mode decomposition
Author(s): Faten Ben Arfia; Mohamed Ben Messaoud; Mohamed Abid
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Paper Abstract

In this paper we develop an adaptive algorithm for decomposition of greyscales images. This method is highly adaptive decomposition image called Bidimentional Empirical Mode Decomposition (BEMD). It is based on the characterization of the image through its decomposition in Intrinsic Mode Function (IMF) where it can be decomposed into basis functions called IMF and a residue. This method offered a good result in visual quality, unfortunately this method consume an important execution time. To overcome this problem we proposed a new approach using Block based BEMD method where the input image is subdivided into blocks. Then the BEMD is applied on each of the four blocks separately. This method offered a good solution to reduce the execution time.

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090I (8 July 2011); doi: 10.1117/12.896092
Show Author Affiliations
Faten Ben Arfia, National Engineering School of Sfax (Tunisia)
Mohamed Ben Messaoud, National Engineering School of Sfax (Tunisia)
Mohamed Abid, National Engineering School of Sfax (Tunisia)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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