Grain-shaped control system by using the SPCA

Abstract

Recently in the world, noise removable method for images are investigated. This is because it increased to change analog data into the digital style and to use it by the digitization in recent years. Furthermore, when it is changed into the digital style from the analog, it is a cause that noise (impulse element) is made. For this problem, the edge of the image is detected by using simple principal component analysis (SPCA) in this paper. Furthermore, the method to get rid of the noise of the part except for the edge is proposed. It is possible that it gets rid of noise without breaking down the edge of the original image by using the proposed method. Finally in this paper, in order to show the effectiveness of the proposed method, simulations are done for the comparing the conventional methods.