Compression, Denoising for the Medical and Space Image Based on DDWT: The Double Density Wavelet Transform to Enhance for Color Images Medical Applications and Space Images

The Double-Density Wavelet Transform (DDWT) achieve great results compared to previous conventional methods less complexity. Credited with this good result, so due to a simplified account that deal with two-dimensional and three-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 appropriate application. Digital space and medical images play an important role both in daily life applications such as satellite channels, and magnetic resonance imaging calculated tomography, x-ray, and computer, as well as in the areas of research and technology such as GIS and astronomy and the images in the field of medicine. Contaminated data set collected by sensors overall picture noise.

Lecturer in Electrical Engineering Department, University of Technology, Iraq. Ph.D. student communication engineering in Electric and Electronic Faculty, University Malaysia Pahang. Education: B.Sc. Electric Engineering, Master Electronic Engineering and Ph.D. student in Communication Engineering.