A quantum study on digital image noises and their in-depth clusterization

In this paper, we represented a detailed survey of various types of Noise and its applications. Image processing is a field of study and research where we process raw images with the help of various functions or the input can be any parameter of the picture that we need to process. Noise as we all know as Unwanted Signal is responsible for Degradation of pictures in terms of Quality and Detailing. The primary source of Noise can be when we capture a picture, due to slow Shutter Speed, Temperature. Some noises are beneficial for us like noise is used in Posterization, Sharpness and in Dither. So, implementing an efficient noise removal technique is the utmost need today to harness each and every required detail. Nowadays we have effective Algorithms and Codes that can harness noise to enhance the image quality at any integral level of our choice. Every Image Processing Technique has its own advantages and disadvantages. We have to identify which kind of Algorithm will help us in getting the desired result. In this paper, we represented the survey of various kinds of Noise in Digital Image and we presented their effects in a particular Image.