A novel filtering mechanism using cascading filters on 3D images

This manuscript is primarily dedicated on the innovative study of applying filters on 3D images. Unlike previous studies adroit efforts have been applied in understanding the effects of cascading two or more filters on noise affected colored
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images. The experiments are performed on Matlab. In today's digital world where one clicks and expresses their emotions across various social media platforms this study plays a crucial role in improving the picture quality. The findings emphasise upon using multiple filters on various noise affected images to get the best possible image. Each filter has its own unique effect on a noisy image and in turn plays a crucial role in removing noise from the image under consideration. A single filter if applied to a noisy filter reduces the noise content in an image to an extent but if the same image is filtered iteratively from two or more filters the end result is brilliant.