PSNR, SSIM, AND MSE ANALYSIS OF VARIOUS NOISE REMOVAL MECHANISMS: AN EMPIRICAL STUDY

ABSTRACT

Since its invention, image processing has found widespread usage in a wide variety of industries, including commerce, medicine, and education. The image’s quality is being affected by a number of different things. Image quality has been greatly diminished due to noise. In order to get rid of the noise, a noise reduction mechanism must be used. Bilateral, Blur, Median, and Gaussian are only few of the noise-reduction methods that can be used. The current simulation work compares PSNR, SSIM, and MSE for a variety of noise cancellation strategies. Research along these lines would be crucial in deciding on the best noise-cancelling techniques to employ.

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