Denoising of Medical Ultrasound Images using Wavelet Transform with Bilateral Filter
T.Joel1, J. Yogapriya2
1T.Joel, Associate Professor, R.M.K. Engineering College
2J. Yogapriya, Programmer Analyst, Cognizant Technology Solutions
Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8113-8116 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8571118419/2019©BEIESP | DOI: 10.35940/ijrte.D8571.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Medical image degradation contains a significant impact on image quality and therefore affects the human interpretation and also the accuracy of computer assisted diagnostics techniques, unfortunately ultrasound images are principally degraded by an intrinsic noise known as speckle noise. Therefore, de- speckle filtering may be pre-processing step in medical ultrasound images. During this paper we propose a new image de-noising technique is the combination of bilateral filter and wavelet transform. The main contribution of this paper is within the use of a new neighborhood relationship to develop a new multi-scale bilateral filter. Experimental outcomes validate the usefulness and also the correctness of the proposed filter in edge preservation and speckle noise reduction for medical ultrasound images.
Keywords: Bilateral Filter, Speckle, Wavelet Transform, Ultrasound Image.
Scope of the Article: Aggregation, Integration, and Transformation.