Optimized Quality of Color Image denoising using Convolution Neural Network

Abstract

The presence of noise poses a common problem in image recognition operations. With this paper we recommend and analyze the structure of a convolutional neural network (CNN) that can make an image visible. We examine its effectiveness in various forms of perversion, both in the known and the unknown. Finally, we measure how the inclusion of the denoising(D-nosing) process in the pipeline image affects the accuracy of the sections.