Publications

@inproceedings{9231848,

title = {Ultrasound Water Leakage Image Denoising By The Iterative Mmse Filter Abstract},

author = {Mohamed Yahia and Md Maruf Mortula and Ameen Awwad and Lutfi Albasha and Tarig Ali},

doi = {10.1109/ATSIP49331.2020.9231848},

issn = {2687-878X},

year  = {2020},

date = {2020-09-01},

booktitle = {2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)},

pages = {1-5},

abstract = {Ultrasound imaging finds many applications in water environments. The water leakage milieu is considered in this study. However, the ultrasound images are contaminated by speckle noise which damages its quality. It complicates diagnosis and quantitative and visual measurements. In this work, the iterative minimum mean square error (IMMSE) method has been extended for de-speckling of ultrasound images. Therefore, by optimally setting the number of iterations, the IMMSE filtering approach outperforms traditional speckle filtering methods such as the mean, median and the improved Lee filters in speckle removal and edge preservation.},

keywords = {Ultrasonic imaging;Speckle;Reactive power;Plastics;Signal to noise ratio;Image edge detection;Visualization;Ultrasound images;speckle;water leakage;IMMSE filter},

pubstate = {published},

tppubtype = {inproceedings}

}