Digital image enhancement with fuzzy rule-based filtering

Chowdhury, Mozammel; Islam, M.E.; Begum, Nasima; Bhuiyan, Md. Al-Amin

doi:10.1109/iccitechn.2007.4579400

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…Fuzzy Filter (FF) is based on gray level mapping into a fuzzy plane, using a membership function [5]. The aim is to generate an image of higher contrast than the original image by giving a larger weight to the gray levels that are closer to the mean gray level of the image than to those that are farther from the mean.…”

Section: Fuzzy Filtermentioning

confidence: 99%

Image Filtering using Linear and Non Linear Filter for Gaussian Noise

KumarPatidar¹,

Lalit²,

Singh³

et al. 2014

IJCA

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The goal of image filtering is to remove the noise from the image in such a way that the "original" image is visible. Linear filter [1] is the filtering in which the value of an output pixel is a linear combination of neighborhood values, which can produce blur in the image. Median filter is the one of the most popular non-linear filter. Image filtering is a method by which we can enhance images .Image filtering methods are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. In these work Gaussian noise used and image filtering performed by Linear and Non Linear filter. Further results have been compared for filters using Standard Deviation and Mean Square Error value.

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Section: Fuzzy Filtermentioning

confidence: 99%

Image Filtering using Linear and Non Linear Filter for Gaussian Noise

KumarPatidar¹,

Lalit²,

Singh³

et al. 2014

IJCA

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“…In this paper; we perform fuzzy and mean filtering to de-noise an image [4]. Fuzzy Filter can manage the imprecision and ambiguity in many image processing applications efficiently [5]. We suggest to de-noise a degraded image X given by X = S + N, where S is the original image and N is an Additive White Gaussian noise with unknown variance.…”

Section: Introductionmentioning

confidence: 99%

Performance of Fuzzy Filter and Mean Filter for Removing Gaussian Noise

Kumar¹,

Dadheech²

2019

IJCA

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The goal of image filtering is to remove the noise from the image in such a way that the "original" image is visible. Image filtering is a method by which we can enhance images .Image filtering methods are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. Fuzzy Filter method for image de-noising based on Fuzzy set theory. This filter employs Fuzzy rules for deciding the gray level of a pixel within a window in the image. The Mean Filter is a linear filter which uses a mask over each pixel in the signal. Each of the components of the pixels which fall under the mask are averaged together to form a single pixel. This filter is also called as average filter. In these work Gaussian noise used and image filtering performed by fuzzy filter and mean filter. Further results have been compared for filters using Standard Deviation and Peak Signal to Noise Ratio.

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“…Some researchers have proposed de-noising algorithms for removal of this kind of noise to enhance image quality, such as the median filter [2], the weighted median filter [3], the center weighted median filter [4], the tri-state median filter [5], the noise adaptive soft-switching median filter [6,7,8] and others [9][10][11][12][13][14][15][16][17][18]. From the study of these researches, it is evident that the median filter is a useful technique to resist the effect of impulse noise on an image.…”

Section: Introductionmentioning

confidence: 99%

A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering

Chowdhury¹

2014

AJMO

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This paper presents a robust de-noising model for image enhancement using adaptive median filtering. In this approach image noise is detected with a standard median filter using an adaptive window. Within the window, the original value of the center pixel is changed to a newer that is closer to or same as the standard median. A comparison has been arranged among the proposed method, the standard median (SM) filter and the center weighted median (CWM) filter, which proves the superiority of the proposed filtering method.

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Digital image enhancement with fuzzy rule-based filtering

Cited by 11 publications

References 10 publications

Image Filtering using Linear and Non Linear Filter for Gaussian Noise

Image Filtering using Linear and Non Linear Filter for Gaussian Noise

Performance of Fuzzy Filter and Mean Filter for Removing Gaussian Noise

A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering

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