Image decomposition based on modified bidimensional empirical mode decomposition

Faten Ben Arfia; Mohamed Ben Messaoud; Mohamed Abid

doi:10.1117/12.896092

8 July 2011 Image decomposition based on modified bidimensional empirical mode decomposition

Faten Ben Arfia, Mohamed Ben Messaoud, Mohamed Abid

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80090I (2011) https://doi.org/10.1117/12.896092
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

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.

Citation Download Citation

Faten Ben Arfia, Mohamed Ben Messaoud, and Mohamed Abid "Image decomposition based on modified bidimensional empirical mode decomposition", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090I (8 July 2011); https://doi.org/10.1117/12.896092

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