Image De-noising with Hexagonal Structures Using Adaptive Recursive Filter

Single-pass de-noising of images is often inefficient because the de-noised images always contain some or the other part of noise remnants from the single-pass operation. Thus, for true de-noising of the images, we need to re-apply the de-noising algorithm on the image, so that removes a remnant noise from the image and obtained the de-noised image. In this paper, we tend to propose a unique algorithmic rule that uses adaptive recursive algorithmic filtering using hexagonal structure to de-noise images that are debased by salt also pepper commotion. The proposed calculation is contrasted, and a traditional channel calculation based on a square structure. The results show that the planned formula improves the peak Signal to Noise ratio (PSNR) by quite 10 dB regarding typical filter using a structure of square.