• T. Anitha
• T. kalaiselvi
• V. Chitra

In this article, we proposed a new filtering technique to remove the Rician noise from magnetic resonance imaging (MRI) scans. During the acquisition process, MRI images are produced with a Rician noise, which reduces the quality of the image and making difficult in clinical to diagnose. To avoid this issue, we proposed a Rician noise removing technique using the adaptive nonlocal median filtering method. In this hybrid method, initially, the input image is preprocessed by a nonlocal median filter. Then the image is processed by the adaptive median filter in which the search window size is adaptively fixed as 3×3, 5×5, 7×7, and 9×9 based on the noise. This approach classifies pixels as noise by comparing every pixel within its neighbor pixels by adjusting the window size. A pixel that is completely different from the majority of its neighbors is tagged as noise. Then these noise elements are replaced by the median pixel value of the finalized window of the neighbors. It gives better quality than the existing methods in a higher noise ratio. Observational results are brought out on the brain web dataset and evaluated by image quality metrics such as peak-signal noise ratio(PSNR) and normalized absolute error(NAE). This proposed technique removes noise as well as preserves the details of the MRI images.

Rician noise, Median filter, Noise removal, Nonlocal median filter, Adaptive median filter.

"RICIAN NOISE REMOVAL IN MRI SCANS USING IMPROVED HYBRID MEDIAN FILTERING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.71-79, March-2023, Available :http://www.jetir.org/papers/JETIRFV06015.pdf

"RICIAN NOISE REMOVAL IN MRI SCANS USING IMPROVED HYBRID MEDIAN FILTERING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp71-79, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06015.pdf