Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper Noise

Bhateja, Vikrant; Verma, Aviral; Rastogi, Kartikeya; Malhotra, Chirag; Satapathy, Suresh Chandra

doi:10.1007/978-3-319-04960-1_26

Cited by 19 publications

(6 citation statements)

References 52 publications

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“…The estimation of salt and pepper noise suppression is performed using 8-bit gray scale images, Airplane, Lena, Bridge, Boats, Mandrill, Peppers, Zelda, Barbara, Goldhill, Flower, Lighthouse, Girl, Moon, and Parrots with different resolutions 512 × 512, 256 × 256, 787 × 576, 720 × 576, 512 × 768. The proposed method is compared with classic filters such as SMF [1] and other recent state-of-the-art techniques like FIDT [6], AFSMF [15], UTMF [16], IDMF [2], DTMF [19] and ERA [20]. Table.…”

Section: Results and Analysismentioning

confidence: 99%

“…To remove the high density of impulse noise and preserve the fine details of image, different kinds of techniques have been proposed, like the noise adaptive fuzzy switching median filter (AFSMF) [15], modified decision based unsymmetric trimmed median filter (UTMF) [16], the the fast and efficient median filter (FEMF) [14], sorted switching median filter [17], decision-based coupled window median filter [18], improvement of Decision median filter for suppression of salt-and-pepper noise (IDMF) [2], new decision-based trimmed median filter (DTMF) [19] and an efficient restoration algorithm [ERA] [20] etc.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

Halder

2019

ELCVIA

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This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR based mathematical formula applied on the filter window. Experimental results are presented to demonstrate the efficiency (quality of the image) of the method compared to other existing different types of impulse noise removal techniques.

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Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

Halder

2019

ELCVIA

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“…The mean filter is the famous filter for noise reduction. Mean filter finds out the neighboring pixels, and find the average value [5]. Herein, a 3x3 window size is considered, and then it chooses the surrounding eight data and calculates the average.…”

Section: Introductionmentioning

confidence: 99%

DTMF: Decision Based Trimmed Multimode Approach Filter for Denoising MRI Images

Nisha

Jose²

2023

ITJRD

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The brain MRI image denoising is a challenging and attracting field for young researchers because it enhances the quality of medical images. Salt and pepper noise is the most dangerous noise which reduces the accuracy of brain diagnosis, and it damages the brain medical images severely, that leads to neurologists to fix incorrect treatments or surgery. The pitfalls raised in the existing denoising methods are less Peak signal to noise ratio, high time consumption and incapable for enormous level of noise range. Hence, this research proposes a novel denoising filter which is entitled as ‘Decision based Trimmed Multimode approach oriented Filter (DTMF)’ for salt and pepper noise removal. Herein, the noise removal section is branched into six steps which efficiently reduce noises based on multimode of majority strength. The main concepts used in this research are viz. decision based approach, trimming process, majority of intensity, median, mean, dynamic windows and Square shaped Exemplar Modeled Patch Mechanism (SEMPM). The essential contributions of this approach are i) designing rule set for majority strength structured multimode denoising, ii) computation of majority property oriented parameters like majority-instance, majority strength and majority value, iii) novel SEMPM mechanism to predict noise-free data. The novel SEMPM mechanism grants a solution for the prediction of noise-free pixel in account of the noisy pixels whose surrounding window is completely packed by noisy data. The proposed decision-based approach removes the salt and pepper noise with high peak signal to noise ratio even for huge noise range, with reasonable time consumption.

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“…Based on this idea, it can be ascertained that a decisive amalgamation of flash/no-flash image pairs could yield a single image better in quality than the original ones [7]. Many denoising algorithms have been proposed in the past such as Gaussian filter [8], Adaptive Image filter [9], Anisotropic diffusion (AD) filter and their variants [10]- [13], Doubly local Weiner filter [14], Sparse 3-D Transform Domain filter [15], adaptive median filter and their variants [16]- [20] to suppress the noise from Gaussian corrupted images in diverse applications. Conventional averaging filters are generally performance limited, owing to the suppression of high frequency structure of the image, leading to the removal of finer details along with noise [8].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of flash and no-flash image pairs using guided image filtering

Sharma¹,

Bhateja²,

Sinha³

2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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This paper dispenses a consensus approach in digital photography to yield a better visual quality image by merging image pairs. Guided image filter is employed in this work at the acquisition level to transfers the structures and fine details of the guidance image to the filtering output along with restoration of details and fine structures in the image. The proposed synthesis approach carry out sub-band decomposition of denoised (flash and no-flash) images processed via guided filtering using 2D-DWT. The wavelet coefficients are then synthesized by using max-max decision rule. Simulations are carried out on flash/noflash image pairs contaminated with different levels of additive Gaussian noise and are evaluated on the basis of a no-reference image quality parameter. Significant improvement in quality of the synthesized image has been perceived in comparison to original ones. Index Terms-Flash image, No-flash image, Guided image filter, Discrete Wavelet Transform (DWT).

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Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper Noise

Cited by 19 publications

References 52 publications

An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range

DTMF: Decision Based Trimmed Multimode Approach Filter for Denoising MRI Images

Synthesis of flash and no-flash image pairs using guided image filtering

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