A Novel Edge Preserving Technique using Interpolation Algorithm

Abstract

There is a huge challenging task for the preservation of the structure of the edges in the image processing scenario for the sake of the interpolation in the images on behalf of the manipulation of the degraded form of the image to a normal better form of the image respectively. Here in this project a new algorithm or the new technique is implemented based on the fusion of the data with respect to some of the pertinent features and also the filters of the directional bank and upon integrating this to technique in the combined form as by naming interpolation. Therefore for the further process of the interpolation in which it is defined by the set of observations and from which we are going to get the estimated values of those particular pixels respectively. Here the estimates are with respect to the direction and are modeled under the measurements of noise lost pixel are placed with normalized coefficient respectively. And depending on the statistical point of view they are found under the strict process and they got values are accurate. Therefore from the above process the complexity is going to be increased and the time complexity is also going to be increased therefore in order to reduce the complexity and to work the system more effectively we are going to design the simplified model which is similar to the above model and by the normalizing the mean and the standard deviation coefficients.
From the above process the performance of the interpolation can be incremented and by the normalized coefficients respectively which further can be worked out effictively in the modern form of the society by which the artifacts are going to be reduced and the sharpness of the edges can be preserved on behalf of the clarity purpose.