Enhancement of Ultrasound Images Using Denoising Filters and Genetic Algorithm

Y. Mahesh*, N. Kiran Kumar**
*-** Department of Electronics and Communication Engineering, VEMU Institute of Technology, Chittoor, India.
Periodicity:October - December'2019
DOI : https://doi.org/10.26634/jdp.7.4.15351

Abstract

Ultrasound images used for medical applications are generally found in low contrast and high noise, generally caused by the environment while capturing the image. Compared to other medical images, denoising an ultrasound image is challenging. The Bayesian shrinkage method has been selected for thresholding based on its sub-band dependency property. The spatial domain based de-noising filtering techniques, using soft thresholding method are compared with the proposed method using Genetic Algorithm (GA). A proposed technique includes GA and results are compared with existing spatial domain based denoising filtering techniques. The proposed algorithm provides enhanced visual clarity for diagnosing the medical images. The proposed method based on GA assesses the better performance on the basis of the quantitative metric like Peak Signal-to-Noise Ratio (PSNR) and Fitness value. The overall simulated result shows that proposed technique outperforms the prevailing denoising filtering methods in terms of preservation of the edges and visual quality of the image.

Keywords

Ultrasound Medical Images, Denoising, Thresholding, Genetic Algorithm, PSNR.

How to Cite this Article?

Mahesh, Y., and Kumar, N. K. (2019). Enhancement of Ultrasound Images using Denoising Filters and Genetic Algorithm. i-manager's Journal on Digital Signal Processing, 7(4), 9-14. https://doi.org/10.26634/jdp.7.4.15351

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