An Efficient Approach for Image Denoising Based on Edge-aware Bilateral Filter

Most of the image denoising algorithms work to reduce maximum amount of noise and also try to preserve sharp edges. This paper introduces a new form of bilateral filter, improving image denoising by introducing kernel based on edge detection algorithm. The proposed method applies pre conceptualized bilateral filtering along with Robert edge detection kernel. Influence of salt and pepper type of noise is reduced by the new approach slightly better than other filtering methods. Results of the experiment gave a practical explanation that performance of the proposed method is competitive with the standard bilateral filter. Further the performance evaluation of proposed method is evaluated with state of art quality matrices already present in the literature.