Speckle and Rician Noise Removal from Medical Images and Ultrasound Images
Saurabh U. Saoji1, M. V. Sarode2
1Saurabh U. Saoji*, Department of Computer Engineering, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.
2Dr. M. V. Sarode, Department of Computer Science, Government Engineering College, Yavatmal, India.

Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1851-1854 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5993018520/2020©BEIESP | DOI: 10.35940/ijrte.E5993.018520

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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: In medical images, medical images are corrupted by different types of noise. It is important to get a precise picture and accurately observe the correspondence. Removing noise from medical images has become a very difficult problem in the field of the medical image. The most well-known noise reduction method, which is usually based on the local statistics of medical images, is efficient because of the noise reduction of medical images. In paper, an efficient and simple method for noise reduction from medical images is presented. The paper proposes a filtering system to combine both the Median filter and Gaussian filter to remove the Speckle noise form Medical and Ultrasound images. The image quality is measured through statistical quantities: Peak signal to noise ratio (PSNR). Experimental results show that the proposed system removes Speckle noise from medical images.
Keywords: Medical Images, Median Filter, Gaussian Filter, Speckle Noise.
Scope of the Article: Biomedical Computing.