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Quantifying Salt and Pepper Noise Using Deep Convolutional Neural Network
Noise present in an image is an active challenge in the field of Digital Image Processing. Most computer vision applications such as object detection...
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High Density Salt and Pepper Noise Removal Algorithm Using Statistical Approach
Halder, Amiya Choudhuri, RudrajitReduction of impulse noise so as to enhance the quality of the image is a necessary preprocessing technique applied...
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Exponentially Weighted Mean Filter for Salt-and-Pepper Noise Removal
This paper defines an exponentially weighted mean using an exponentially decreasing sequence of simple fractions based on distance. It then proposes...
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An Improved Approach for Removal of Salt and Pepper Noise in MR Images
Jyotiyana, Monika Kesswani, Nishtha Agarwal, AnupamRemoval of the noise entirely is the most intricate process, as it sometimes ruins the visual...
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A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise
In this paper we propose a multistage selective convolution filter (MSCF) for fast and efficient removal of salt-and-pepper noise (SPN) in digital...
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A Tri-valued Trimmed Mean Decision-Based Filter for Removal of Salt-and-Pepper Noise
This paper presents a Tri-valued Trimmed Mean Decision-based De-noising Filter for Removal of Salt-and-Pepper noise. The proposed filter estimates...
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Picture Fuzzy Parameterized Picture Fuzzy Soft Sets and Their Application in a Performance-Based Value Assignment Problem to Salt-and-Pepper Noise Removal Filters
In real-world problems such as voting for an election, decisions of the electorate may be split into three types: yes, no, and abstain. The concept...
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Dynamically Adaptive Switching Based Median Mean Filter for Removal of High Density Salt and Pepper Noise
This paper proposes a novel dynamic adaptive switching based median mean filter (DASBMMF) to remove salt and pepper noise (SAP) of high noise density...
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Comparative Research on Several Denoising Methods for Pepper and Salt Noise Images
Salt and pepper noise is a kind of noise often seen in the image. In this paper, five commonly used denoising algorithms are selected: mean...
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Removal of SP Noise Using Decision Based Adaptive Double Median Filter for Synthetic Aperture Radar Images
Noise present in satellite images influence the visual quality of the image and make other resulting subsequent image processing techniques more...
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A Decision Based Neighbourhood Referred Asymmetrically Trimmed Modified Trimean for the Removal of High Density Salt and Pepper Noise in Images and Videos
A Decision Based Neighbourhood Referred Asymmetrically Trimmed Modified Trimean for the Removal of High Density salt and pepper noise in Images and...
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Comprehensive Approach for Image Noise Analysis: Detection, Classification, Estimation, and Denoising
Image noise is undesirable that can negatively affect the quality of digital images. It reduces the image quality and increases the processing...
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Noise Removal from Images by Applying Deep Neural Networks
This article addresses the problem of removing noise from images using neural networks. The type of noise that is removed in this article is salt and...
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Sensitivity Study Using Synthetic 3D Image Datasets to Investigate the Effect of Noise Artefacts on Digital Volume Correlation
BackgroundThe potential effect of image noise artefacts on Digital Volume Correlation (DVC) analysis has not been thoroughly studied and, more...
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Analog circuit implementation based on median filter for salt and pepper noise reduction in image
In this study, an analog circuit design instead of using a software is utilized to remove Salt and Pepper (S&P) noise in image. For this purpose, a...
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An adaptive content based closer proximity pixel replacement algorithm for high density salt and pepper noise removal in images
An Adaptive Content based Closer Proximity Pixel Replacement algorithm for the removal of high density salt and pepper noise in images is proposed....
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Median arc center corrected binary pattern (MACCBP) for noise robust feature extraction
Local binary pattern (LBP) is an efficient texture descriptor with increasing applications in machine vision. Notwithstanding the great ability of...
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Image De-Blurring and De-Noising by Using a Wiener Filter for Different Types of Noise
There are many factors that lead to photographic image deterioration such as motion blur and geometric distortion. Image blurs results from the...
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A Decision Based Asymmetrically Trimmed Modified Geometric Mean Algorithm for the Removal of High Density Salt and Pepper Noise in Images and Videos
A decision based asymmetrically trimmed modified geometric mean algorithm (DBATMGMA) for the removal of high density salt and pepper noise in images...