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One image processing application that is very helpful for humans is toimprove image quality, poor image quality makes the image more difficult tointerpret because the information conveyed by the image is reduced. In theprocess of the acquisition of medical images, the resulting image has decreasedquality (degraded) due to external factors and medical equipment used. For thisreason, it is necessary to have an image processing process to improve thequality of medical images, so that later it is expected to help facilitatemedical personnel in analyzing and translating medical images, which will leadto an improvement in the quality of diagnosis. In this study, an analysis willbe carried out to improve the quality of medical images with noise reductionwith the Gaussian Filter Method. Next, it is carried out, and tested againstmedical images, in this case, the lung photo image. The test image is givennoise in the form of impulse salt & pepper and adaptive Gaussian then analyzedits performance qualitatively by comparing the output filter image, noiseimage, and the original image by naked eye.

Reduce Noise in Computed Tomography Image using Adaptive Gaussian Filter