Image decomposition based on modified Bidimensional Empirical Mode Decomposition

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.

关键词： EMD BEMD Execution time Wavelet PSNR

作者: FATEN BEN ARFIA MOHAMED BEN MESSAOUD MOHAMED ABID

作者单位: Computer Engineering System design Laboratory (CES) Laboratory of Electronic and Information Technologies (LETI) National Engineering School of Sfax: Tu

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 94-98

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）