Paper Title : STATISTICAL NEAREST NEIGHBORS FOR IMAGE DENOISING
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: K. E. Eswari., MCA, M.Phil., M.E., V.Gobinath " STATISTICAL NEAREST NEIGHBORS FOR IMAGE DENOISING " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: K. E. Eswari., MCA, M.Phil., M.E., V.Gobinath " STATISTICAL NEAREST NEIGHBORS FOR IMAGE DENOISING " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
Image Denoising plays vital role in digital image processing. The purpose of image denoising is to remove noise from any digital image. Any digital image is comprised of pixels of different size of matrices. Various Image Restoration algorithms have been developed. In this paper, we have compared pixels of two different images one, the original image and the other, the degraded image. Once we get the difference between the two pixels which can be called as the added noise then we have subtracted that noise from the degraded image. In this way the original image can be restored from the degraded image. For denoise we implemented Support Vector Machine Algorithm for speed and accuracy.
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—— Support Vector Machine, Denoise, Matrices, Resat oration Algorithm, Machine Learning,