Impulse noise

About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.

Adaptive Window Length Recursive Weighted Median Filter for Removing Impulse Noise in Images with Details Preservation

Abstract: An adaptive window length Recursive Weighted Median fllter [ARWMF] for removing the impulse noise with better edge and flne detail preservation is presented. Larger window size may blur the images and the lower window size does not remove the noise at high density. To overcome this, the window size of the RWMF is adaptive based on the presence of noise density. Median controlled algorithm is used to calculate the weights for the RWMF. In median controlled algorithm, the fllter gives the smallest weight for the impulse. However, for many weight functions, including the exponential one, this weight is non-zero. Thus the impulse has an efiect on the output and the magnitude of the impulse is reduced. The computational complexity for the weight calculation is simple and it is very e‐cient. The window size of the RWMF is adaptive based on the presence of noise density. The proposed algorithm produces better edge and flne details preservations and reduces blurring at the high density impulse noise.The performance of the proposed algorithm is given in terms of mean square error (MSE), mean absolute error (MAE) and peak signal to noise ratio (PSNR) and it is compared with Standard Median fllters, Weighted Median fllters, Center Weighted Median fllters, Recursive Weighted Median fllters and Lins Adaptive length Recursive weighted median fllters using Median Controlled Algorithm.

Similar neighbor criterion for impulse noise removal in images

Abstract: In this paper, a new method is proposed for removing and restoring random-valued impulse noise in images. This approach is based on a similar neighbor criterion, in which any pixel to be considered as an original pixel it should have sufficient numbers of similar neighboring pixels in a set of filtering windows. Compared with other well known methods in the literature, this technique achieves superior performance in restoring heavily corrupted noisy images. Furthermore, it has low computational complexity, and equally effective in restoring corrupted color and gray-level images.

Adaptive noise reduction scheme for salt and pepper

Abstract: In this paper, a new adaptive noise reduction scheme for images corrupted by impulse noise is presented. The proposed scheme efficiently identifies and reduces salt and pepper noise. MAG (Mean Absolute Gradient) is used to identify pixels which are most likely corrupted by salt and pepper noise that are candidates for further median based noise reduction processing. Directional filtering is then applied after noise reduction to achieve a good tradeoff between detail preservation and noise removal. The proposed scheme can remove salt and pepper noise with noise density as high as 90% and produce better result in terms of qualitative and quantitative measures of images.

An Efficient Method for the Removal of Impulse Noise

Abstract: In this paper, we propose an efficient algorithm, which can successfully remove impulse noise from corrupted images while preserving image details. It is efficient, and requires no previous training. The algorithm consists of three steps: impulse noise detection, refinement, and impulse noise cancellation. Extensive experimental results show that the proposed approach significantly outperforms many other well-known techniques for image noise removal.

Rotational transformation of signals

Abstract: A coding procedure based on a rotational transformation is applied to reduce the effect of non-Gaussian impulsive noise in sampled data communication systems. The method, a near relative of the smearing techniques which have been suggested recently for continuous systems, provides a new and interesting view of many accepted coding systems and their relative properties. Attention is directed toward the effect of the transformation on the amplitude distribution of signals and to the existence of signals which do not benefit from a smearing technique in respect to their resistance to isolated impulse interference. The behavior of certain nonorthogonal transformations is also discussed in contrast to the purely rotational transformations.