F. E. Abd El-Samie

Work place: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt.

E-mail: fathi_sayed@yahoo.com

Website:

Research Interests: Image Processing, Image Manipulation, Image Compression

Biography

Fathi E. Abd El-Samie was born in Tanta, Egypt, on May 12, 1975. He received the B.Sc. degree in communication engineering from Faculty of Electronic Engineering, Menoufia University, Egypt, in May 1998, the MSc. in Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 2001. PhD. in Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 2005. He has received the most cited paper award from Digital Signal Processing Journal in 2008 for the paper entitled: “Efficient Implementation of Image Interpolation As An Inverse Problem”, authored and co-authored more than 120 papers and 2 Books, interested in Image Processing: ( Enhancement of old images and images acquired under bad illumination conditions, restoration of degraded images, restoration of degraded and noisy images, multi channnel image processing, image interpolation and resizing, super resolution reconstruction of images, color image processing, image watermarking, encryption, and data hiding) , Signal Processing: (Spectral Estimation, Wavelet Processing, Signal Separation, and Speech Processing) and Digital Communications (CDMA, OFDM, Dynamic Spectrum Management, Channel Equalization and Channel Estimation)

Author Articles
Comparative Study of Different Denoising Filters for Speckle Noise Reduction in Ultrasonic B-Mode Images

By Amira A. Mahmoud S. EL Rabaie T. E. Taha O. Zahran F. E. Abd El-Samie W. Al-Nauimy

DOI: https://doi.org/10.5815/ijigsp.2013.02.01, Pub. Date: 8 Feb. 2013

Image denoising involves processing of the image data to produce a visually high quality image. The denoising algorithms may be classified into two categories, spatial filtering algorithms and transform domain based algorithms. In this paper a comparative study of different denoising filters for speckle noise reduction in ultrasonic b-mode images based on calculating the Peak Signal to Noise Ratio (PSNR) value as a metric is presented. The quantitative results of comparison are tabulated by calculating the PSNR of the output image.

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