An efficient approach for removal of impulse noise from highly corrupted images by preserving edge details

This paper aims to obtain an integrated and consecutive original image from noisy image by applying image denoising method. Proposed method employs an “impulse noise detector” to detect the noisy pixels, and an “edge-preserving filter” to reconstruct the intensity values of noisy pixels. Extensive experimental results demonstrate that proposed method can obtain better performances in terms of Peak-to-Signal-Noise-Ratio(PSNR) value and compared with other impulse denoising techniques. The proposed method can preserve edges very well while removing impulse noise and is suitable to be applied to many real-time applications by increasing PSNR value.