Topic
Impulse noise
About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.
Papers published on a yearly basis
Papers
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21 Dec 2015
TL;DR: A new algorithm, based on median filter, has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise and it removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values.
Abstract: Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values. The problem of increasing window size is also removed. To check the efficiency and the performance of the proposed algorithm it has been compared with various filters and corresponding algorithms. The experiments are performed over a range of noise density, which ranges from 5% to 80% for Lena and Peppers images. Results are compared in terms of PSNR and MSE.
17 citations
15 Nov 2010
TL;DR: The proposed impulse noise removal scheme is capable of removing high density of impulse noise effectively while preserving the fine image details and is tested using various impulse noise corrupted images.
Abstract: Mostly researchers use all pixels within a window to filter out the impulse noise. They increase the size of neighboring pixels with the increase of noise density. However, this estimate of all neighboring pixels does not give promsing results for high level of noise density. In contrast, in the paper, we propose impulse noise removal scheme that emphasizes on few noise-free pixels. The proposed iterative algorithm search the noise-free pixels within a small neighborhood. The noisy-pixel is then repalced with the average estimated from noise-free pixels. The iterative process continues until all noisy-pixels of the corrupted image are filtered. The performance of the proposed method is tested using various impulse noise corrupted images. The simulation results show the proposed scheme is capable of removing high density of impulse noise effectively while preserving the fine image details.
17 citations
TL;DR: This work proposes an image denoising algorithm through skillfully combining NLM and sparse representation technique to remove Gaussian noise mixed with random-valued impulse noise and can reconstruct the clean image.
17 citations
TL;DR: The Fuzzy Directional filter is presented to remove impulse noise from corrupted colour images and simulation results have shown that the restoration performance is better in comparison with other known filters.
Abstract: We present the Fuzzy Directional (FD) filter to remove impulse noise from corrupted colour images. Simulation results have shown that the restoration performance is better in comparison with other known filters.
17 citations