Paper
28 August 2009 An improved method of new image decomposition technique: two-dimensional EMD
Wei-jiang Zhao, He-yong Zhang, De-ming Ren, Yan-chen Qu
Author Affiliations +
Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73821D (2009) https://doi.org/10.1117/12.830923
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China
Abstract
An improved algorithm of 2-D Empirical Mode Decomposition (EMD) in image processing has been presented. It contains selecting extrema of the pixels and interpolation of them in the course of EMD, A variance phenomenon has been discovered in the interpolation of boundary pixels. Delaunay Triangulation has been used to partition the selected extrema, a pixel that not contained in the Delaunay polygon can be processed through symmetry principle, It can restrain the variance phenomenon that appeared in the cubic spline interpolation. An image has been processed with the improved algorithm, The calculation result of standard deviation between the original image and the reconstructed image is 6.667×10-6 . A slight fluctuation can be seen from the calculation result. The reconstructed image is consistent with the original image. It demonstrates that the improved algorithm been presented is accurate and feasible. The method of EMD is used in image compression and de-noising more and more popular, therefore, the improved algorithm in the paper will be useful in the course of calculation speed enhancement of image processing based on EMD.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-jiang Zhao, He-yong Zhang, De-ming Ren, and Yan-chen Qu "An improved method of new image decomposition technique: two-dimensional EMD", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73821D (28 August 2009); https://doi.org/10.1117/12.830923
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Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Image compression

Reconstruction algorithms

Image enhancement

MATLAB

Wavelets

Data acquisition

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