Telephone number (mobile) : 07841114480 E-mail : [email protected] Date and place of birth: 07 /05/1 976 - Baghdad / Iraq.
Education • 1999: B.Sc. degree in physics, University of Baghdad, College of Science, Department of Physics. • 2002: M.Sc. in Remote sensing Image Processing, University of Baghdad, College of Science, Department of Astronomy. Title of Master thesis « Change Detection Using Fuzzy Logic and Neural Network »
programming languages: Fortran, Matlab, VBasic. Languages: Arabic (native), english (advanced), French (intermediate)
(2004-2024) : I worked as a lecturer in the university of Baghdad in numerical analysis , image processing , Computer skills laboratorries
1- Supervised Classification of Remote Sensing Images Using Fuzzy Technique, Iraqi Journal of Science, Vol.46, No.1, 2005, PP .276-280. 2- Solar twins in ELODE archive, Astronomy and Astrophysics, Vol. 587, No. 131, 2016. classification.pdf 70_Solar_twins.pdf
(2004-2024) : I worked as a lecturer in the university of Baghdad – College of science – Department of Astronomy & Space in numerical analysis , image processing and Computer skills laboratories. bidection.pdf Newton-Raphson.pdf Rectangular.pdf simpson.pdf Convolution In Frequency domain.pdf convolution spatial2.pdf
Image compression is a suitable technique to reduce the storage space of an image, increase the area of storage in the device, and speed up the transmission process. In this paper, a new idea for image compression is proposed to improve the performance of the Absolute Moment Block Truncation Coding (AMBTC) method depending on Weber's law condition to distinguish uniform blocks (i.e., low and constant details blocks) from non-uniform blocks in original images. Then, all elements in the bitmap of each uniform block are represented by zero. After that, the lossless method, which is Run Length method, is used for compressing the bits more, which represent the bitmap of these uniform blocks. Via this simple idea, the result is improving
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