Open AccessSpeckle and Rician Noise Removal from Medical Images and Ultrasound Images
Author(s) -
Saurabh U. Saoji,
Milindkumar V. Sarode
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e5993.018520
Subject(s) - speckle noise , computer science , computer vision , artificial intelligence , median filter , noise (video) , gaussian noise , noise reduction , speckle pattern , rician fading , image noise , medical imaging , filter (signal processing) , image (mathematics) , image processing , algorithm , decoding methods , fading
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.