Restoring Original Image Based on Relation between Neighborhood Pixels

In this paper, we introduce a restoring the original image that was based on image properties when defining the interaction between pixels in the filtering process. After this, image structure is identified using properties like intensity level and is implemented according to the proposed technique. Using the generation of red points in this technique. In this context, a red points can be generated on to the image to find the similar neighborhood pixels like this different number of points can be generated on to image in order to provide interaction between pixels and identifying similar number of pixels and the weighted probability density function can be calculated for each group of similar pixels that for each window by using this information an original image can be restored. Calculating the average for the obtained weighted probability density function values can gives original restored value.