ABSTRACT
Image denoising is considered as the most important topic in the field of image processing. The primary objective is to refine and improve the image quality. Many photographs result in very high noise and grain levels as well as low sharpness due to the low sensor resolution and power. It’s very costly and always impossible to increase sensor resolution in cameras. In revolutionary neural networks, image shape and form are used as evolving characteristics in CNN. A literature review and implementation of CNN-based image denoising techniques are discussed in this paper. We first introduce different types of noise, filters to remove the noise, and then different methodology for image denoising using CNN.
