Removing or reducing impulse noise is a very active research area in image processing. Removing Salt and Pepper noise is considered to be very important in the domain of image restoration, but it is a somewhat more challenging topic than removing pure noise. Therefore, relatively fewer works have been published in this area. In this paper the novel approach has been presented for removal of salt and pepper noise from the high density salt and pepper noisy images, using Iterative Modified Decision based Unsymmetric Trimmed Median Filter. The existing MDBUTMF is unable to restore the original image from the noisy one if noise density is more than 70%. The performance of the proposed method is analyzed by using various qualities of metrics, such as Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR). Simulation results clearly show that the proposed method is out performs both in qualitative as well quantitative fidelity criteria, when it is compared with MDBUTMF.