A Decision Based Unsymmetrical Trimmed Modified Winsorized Mean Filter for the Removal of High Density Salt and Pepper Noise in Images and Videos

Vasanth, K.; Manjunath, T G; Raj, S. Nirmal

doi:10.1016/j.procs.2015.06.069

Cited by 34 publications

(7 citation statements)

References 12 publications

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“…MEAN DET [42], MEDIAN DET [42], MDBUTMF DET [38], MDBUTMPF DET [40], VARIENTS DET [30], WINMEAN DET [6], WINMEDIAN DET [35], WINVARIENTS DET [39], and GEOMEAN DET [41] are the existing methods used for the comparison. Testing of the suggested algorithm's quality is done on a variety of Images, including those of Lena, Zebra, Boat, Cameraman, etc (Images are chosen as per the details of the image).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Thresholding Based Decision based Algorithm for the removal of Impulsive Artifacts in Images

Vasanth¹,

Sridevi²,

Prasad

2023

Preprint

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A Novel modified trimmed Trimean filter method is suggested for the elimination of random and impulse noise as well as the clearing of various sorts of artefacts from the standard images. The suggested filter first divides the pixels into noisy and non-noisy categories before updating the noisy pixels with trimmed modified trimean and leaving the non-noisy pixels unmodified. On a Standard image database, exhaustive tests were run, and the performance of the suggested filter was assessed in terms of both quantitative and qualitative results using the current algorithm. The suggested method was discovered to have great noise suppression capabilities by maintaining the fine details of the image even at increasing noise densities.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Thresholding Based Decision based Algorithm for the removal of Impulsive Artifacts in Images

Vasanth¹,

Sridevi²,

Prasad

2023

Preprint

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“…The methods employed for comparison include SVM fuzzy WAF, adaptive fuzzy‐based switching weighted average filter (AFSW) [37], modified decision‐based filter (MDBU) [38], decision‐based algorithm for removal of high‐density impulse noises (DBAIN) [39], boundary discriminative noise detection (BDND) [40], and SVM classification in Nonsubsampled Contourlet Transform (SVM‐NSCT) domain [41].…”

Section: Resultsmentioning

confidence: 99%

Integrating Taylor–Krill herd‐based SVM to fuzzy‐based adaptive filter for medical image denoising

Narasimha

Rao

2020

IET Image Processing

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“…Beatrice Seventline.J,Department ofECE, GIT, GITAM deemed to be University, Visakhapatnam, A.P, India. (E-mail: samsandra2003@yahoo.com) A MDBMF was recommended [1], [2]. This algorithm changed with unsymmetrical average instead of conventional median.…”

Section: Revised Manuscript Received On April 12 2019mentioning

confidence: 99%

“…At greater noise densities [4], [5] the formula lead in fading. The MDBMF algorithm ended up being refined with MDBUTMF [1], [2]. The formula also exhibits fading [7] at larger sound densities.…”

Section: Revised Manuscript Received On April 12 2019mentioning

confidence: 99%

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A Modified Trimmed Median Filter Technique for Noise Removal in an Image

2019

IJITEE

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A modified trimmed filtration that is actually median when it comes to recovering the original images that are dishonored by the salt & pepper noise is actually presented here.The refined the pixels tend to be checked for high or least pixel values for example, 0 or 255 in this suggested method. Then this expedient pixel is recognized as the noisy one otherwise maybe not a noisy one in the event that processed pixel is actually 0 or 255. A two-dimensional 3*3 window can end up being selected with this specific noisy pixel as center component and being a running pixel. In this 3*3 window, then this algorithm can replace the value of the loud pixel as mean of these 9 elements in the 3*3 screen if all 9 aspects in the window are values like 0’s or 255’s. Then this modified trimmed median filtration technique can be applied if most of the 9 elements tend to be not 0’s or 255’s. This formula can eliminate the 0’s and present that is 255’s the 3*3 window and change the loud pixel value as average of mean and median of this remaining pixel in 3*3 screen. Simulation results imply that the proposed modified trimmed filter that is actually median can be works really in the event that picture can end up being influenced by salt and pepper sound.The outcome obtained from the recommended modified trimmed filter is compared with the AWMF, DBUTVF, and MDBUTMF. This proposed MTMF filtering technique is actually analyzed on various images for different quality testing parameters like PSNR, MSE.

show abstract

A Decision Based Unsymmetrical Trimmed Modified Winsorized Mean Filter for the Removal of High Density Salt and Pepper Noise in Images and Videos

Cited by 34 publications

References 12 publications

Thresholding Based Decision based Algorithm for the removal of Impulsive Artifacts in Images

Thresholding Based Decision based Algorithm for the removal of Impulsive Artifacts in Images

Integrating Taylor–Krill herd‐based SVM to fuzzy‐based adaptive filter for medical image denoising

A Modified Trimmed Median Filter Technique for Noise Removal in an Image

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