Image decomposition based on modified Bidimensional Empirical Mode Decomposition

被引：0

作者：

Ben Arfia, Faten ^{[1
]}

Ben Messaoud, Mohamed ^{[2
]}

Abid, Mohamed ^{[1
]}

机构：

[1] Natl Engn Sch Sfax, Comp Engn Syst Design Lab CES, Sfax, Tunisia

[2] Natl Engn Sch Sfax, Lab Elect & Informat Technol LETI, Sfax, Tunisia

来源：

THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011) | 2011年 / 8009卷

关键词：

EMD; BEMD; Execution time; Wavelet; PSNR; SEGMENTATION;

D O I：

10.1117/12.896092

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：5

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