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Enhancement Medical Images Based on the Optimize Double Density Wavelet Transform Technique

International Journal of Bioinformatics and Computational Biology
Vol.3 , No. 1, Publication Date: Apr. 10, 2018, Page: 6-16

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Authors

[1]	Ali Kareem Nahar, Department of Electrical Engineering, University of Technology, Baghdad, Iraq.
[2]	Mohmmed Jawad Mobarek, Najaf Gas Turbine Power Plant, Najaf, Iraq.

Abstract

Overall, Discrete wavelet transform (DWT) are good perform a when little to no simple mathematical operations in the wavelet basis, in many applications, wavelet transforms can be severely truncated compressed and retain useful information Image compression. However, DWT and the divided wavelet transform, still suffering from Poor directionality Lack of phase information, and Shift- sensitivity, which is a major drawback in most the communications systems. The Optimize Double-Density Wavelet Transform (DDWT) achieves great results compared to previous conventional methods less complexity. Therefore, a number of advantages emerging it as an attractive standard for various digital data over for various digital data over daily life applications for example Image Compression and de-noising medical images. Accredited with this good result, so due to a simplified account that deal with 2D-dimensional and 3D-dimensional images by the way and transformation matrices as if through a matrix multiplication between the picture and the conversion of number DDWT. In addition, the form of repeated goal is achieved with the optimization process for the suitable application.

Keywords

Enhancement Medical Image, Image Compression, Image De-noising, DDWT

Reference

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