Modified Wiener filter

Sazonov, V. V.; Shcherbakov, M. A.; Vasilyev, V. A.

doi:10.1109/sibircon.2015.7361881

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H(x Y) = R[g(x Y)]1

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2021

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“…The Weiner filter is one of the most popular filters in order to remove the Gaussian noise and it is usually applied in the signal processing and image processing [4]. The existing Weiner filter is effective to reduce noise, but sometimes it blurs the edges of an image because it is spatially invariant [5]. A Weiner filtering Kernel approach is mainly utilized for removing the Gaussian noise from images [6].…”

Section: H(x Y) = R[g(x Y)]mentioning

confidence: 99%

Optimized Hybrid Model for Gaussian Noise Reduction images

Farhi

Ali

Jamel

et al. 2021

QUEST Research Journal

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In this paper, image noise is removed by using a hybrid model of wiener and fuzzy filters. It is a challenging task to remove Gaussian noise (GN) from an image and to protect the image’s edges. The Fuzzy-Wiener filter (FWF) hybrid model is used for optimizing the image smoothness and efficiency at a high level of GN. The efficiency is measured by using Structural Similarity (SSIM), Mean Square Error (MSE), and Peak Signal to Noise Ratio (PSNR). The proposed algorithm substitutes a mean value of the matrix for a non-overlapping block and replaces the total pixel number with each direction. In the proposed model, overall results proved that the optimized hybrid model FWF has an enormous computational speed and impulsive noise reduction, which enables efficient filtering as compared to the existing techniques.

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Section: H(x Y) = R[g(x Y)]mentioning

confidence: 99%