An Enhanced Rapid and Effective Algorithm to Remove Various Noise in Digital Images

The Rapid and Effective (RE) technique that can remove various types of noise with minimal computing cost. From the noise-corrupted image, the algorithm calculates the extent of noise corruption. In another step, the mean value of some of the nearby pixels is used to replace the centre pixel, which is based on a threshold value. Two opposing parameters are noise removal with edge preservation and computational complexity. For these requirements, the recommended approach is the best option. The algorithm's performance is compared to that of conventional mean filters (MF), wiener filters (WF), alpha trimmed mean filters (ATMF), K- means filters (KMF), bilateral filters (BF), and the recently suggested trilateral filter (TF). In terms of equally individual and objective calculations, new results expose that the proposed filtering algorithm outperforms existing common algorithms. The suggested solution minimises different noise and improves edge preservation while requiring fewer computational complexity, making it simple to implement in hardware.