The primary challenge with image processing applications in automated surveillance, medical, and remote sensing is image denoising. Salt-and-pepper noise (SAPN) drastically reduces image quality by randomly changing pixel values with high intensities. At higher noise densities, the fundamental challenge for conventional filtering algorithms is to balance noise suppression and ...