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Median Filters

Local Image Segmentation Process for salt-and-Pepper Noise Reduction by using Median Filters

Local Image Segmentation Process for salt-and-Pepper Noise Reduction by using Median Filters

... and median filtering. The linear filters smooth the noisy signals but also the sharp ...linear filters can be bulky and slow. The averaging filters have some desirable features like outlier ...

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Impulse Noise Detection and Filtering in Switching Median Filters

Impulse Noise Detection and Filtering in Switching Median Filters

... by median filters [1]-[3]. The switching median filters classify the pixel as corrupted or ...the median of its surrounding pixels. They outperform median filters where no ...

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COMPARISON OF NONLINEAR MEDIAN FILTERS: SMF USING BDND AND MDBUTM

COMPARISON OF NONLINEAR MEDIAN FILTERS: SMF USING BDND AND MDBUTM

... nonlinear median filters, SMF using BDND and MDBUTM filter is tested and compared on gray scale images for salt & pepper noise and random valued impulse ...

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Performance Analysis of Average and Median Filters for De noising Of Digital Images

Performance Analysis of Average and Median Filters for De noising Of Digital Images

... and Median filters is analyzed based on their ability to remove ...and Median Filtering techniques are applied to the noisy images using ...and Median filters, MATLAB ...

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Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images

Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images

... Removal of noise from the medical images is very challenging in image processing. In recent years, technological development has improved significantly in analyzing medical imaging. This paper proposes different ...

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Image De-noising Using Linear and Decision Based Median Filters

Image De-noising Using Linear and Decision Based Median Filters

... based median filtering (DBMF) techniques have been illuminated in ...both filters are applied for removal of impulse noise and compared both filters and their ...

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Title: ENHANCED DATA MINING USING FUZZY, IMPROVED BILATERAL AND DECISION BASED ALPHA TRIMMED MEDIAN FILTERS

Title: ENHANCED DATA MINING USING FUZZY, IMPROVED BILATERAL AND DECISION BASED ALPHA TRIMMED MEDIAN FILTERS

... Mean Median (FMM) has demonstrated promising results above the existing techniques, since it utilizes the popular features of data mining to get rid of mixed ...

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Multidimensional Median Filters for Finding Bumps in Chemical Sensor Datasets

Multidimensional Median Filters for Finding Bumps in Chemical Sensor Datasets

... features, where associated image local maxima identify the associated bump center, and local minima outline the shape of the bump. We can use this information, for example, to identify peaks and their associated area in ...

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ABSTRACT A direction based weighted switching median filter for restoration of images corrupted by high density

ABSTRACT A direction based weighted switching median filter for restoration of images corrupted by high density

... Switching Median filters are selectively applied such that only noisy pixels undergo the filtering ...the median value of the uncorrupted pixels found in the windowwithout any regard to the spatial ...

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Performance Study of Noise Removal Techniques for Recognition of Modi Consonants

Performance Study of Noise Removal Techniques for Recognition of Modi Consonants

... In general, noise is generated due to random variations of intensity values in an image during image acquisition. We have studied different types of noises that affect the quality of images of Modi consonants ...

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Impulse Denoising Algorithm for Gray and RGB Images

Impulse Denoising Algorithm for Gray and RGB Images

... Weighted Median Filter (WMF) has caught ample attention in signal and image processing applications ...classical median filter, weighted median filters have excellent detail preserving and ...

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Brain MR image denoising for Rician noise using pre-smooth non-local means filter

Brain MR image denoising for Rician noise using pre-smooth non-local means filter

... image filters include Gaussian [3], median [4], Wiener [5], diffusion [6], and bi- lateral ...and median filters remove noise in a small constant region and blur ...

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Performance Comparison of Various Filters for Removing Gaussian and Poisson Noises

Performance Comparison of Various Filters for Removing Gaussian and Poisson Noises

... The area of digital image processing related to processing of digital images by using digital computer [1]. Denoising of image is an essential part of image reconstruction process.Noise gets introduced during ...

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Title: Adaptive Median Filtering with Modified BDND Algorithm for the Removal of High-Density Impulse and Random Noise

Title: Adaptive Median Filtering with Modified BDND Algorithm for the Removal of High-Density Impulse and Random Noise

... Switching median filters outperform standard median filters in the removal of impulse noise due to their capability of filtering candidate noisy pixels and leaving other pixels ...

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Sensibility to noise of new multifractal fusion methods for ocean variables

Sensibility to noise of new multifractal fusion methods for ocean variables

... for median filters of different sizes, compared to the performance of ...17, median filters achieve good reconstruction only when the amplitude of noise is small ...general, median fil- ...

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COMPARATIVE ANALYSIS OF BINARIZATION FOR GRAY-SCALED DIGITAL IMAGES

COMPARATIVE ANALYSIS OF BINARIZATION FOR GRAY-SCALED DIGITAL IMAGES

... proposed, as well as a post processing method that can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image constitute the ...

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Retrieval of random valued impulse noise with advanced weighted mean filter by using modified denoising algorithm for image processing application

Retrieval of random valued impulse noise with advanced weighted mean filter by using modified denoising algorithm for image processing application

... the median in AMF to replace the noisy candidate especially for high levels of ...output median includes the effect of ...weighted median values on ...Switching median filters are known ...

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Modified LSB Based Steganography and Noise Removal for Noisy Image

Modified LSB Based Steganography and Noise Removal for Noisy Image

... based median filters: Srinivasan ...the median value of the window or by its neighborhood ...the median value may also be a noisy pixel in which case neighborhood pixels are used for ...

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Brain Tumor Segmentation Methods: A Review and Challenges

Brain Tumor Segmentation Methods: A Review and Challenges

... equalization, sharpening the image features using high pass filters, denoising using median filters, thresholding followed by morphological processing operations. Finally, subtracting the resultant ...

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Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images

Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images

... ervation but having the same MSE and the same MAE with respect to the original picture. To obtain this result, we considered a 512 × 512 version of the 24-bit color image “Parrots” and two filters with different ...

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