Publication

Abstract : With this paper we propose an iterative trimmed median filter and an adaptive window trimmed median filter for effective suppression of salt and pepper noise. The iterative trimmed median filter works in a way that, when a selected neighborhood window of a noise pixel is completely noisy, such pixels will be left unchanged in the current iteration and will be processed in the next iteration. The adaptive window trimmed median filter works in a way, when a selected neighborhood window of a noise pixel is completelynoisy, the size of the neighborhood window is adaptively increased till an image pixel is found in the neighborhood. The visual quality of the denoised image using the proposedmethods outperforms the Trimmed Median Filter (TMF) in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) values. At high noisedensities, the proposed iterative filter outperforms the proposed adaptive window filter