A kind of Image De-noising Method Based on Improved Intersecting Cortical Model

摘要

The article analyzed the impulse noise characters of the image, proposed an improved Intersecting Cortical Model. The model has to rely on the concept in the respective processing time (node) independent information, threshold function related with the number of iterations. We will introduce the timed matrix. When forming the matrix contains space-related information and determine the number of iterations. The computer simulation results show that use of the information provided by T, and use of the relevant algorithm can effectively remove impulse noise in the image. In the meantime, the proposed algorithm can effectively preserve the details of image.