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Filters
A COMPARATIVE STUDY OF IMAGE FILTERING ON VARIOUS NOISY PIXELS
2013
International Journal of Image Processing and Vision Science
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An output image should be judged on the basis of Image Quality Metrics for ex-: Peak-Signal-to-Noise ratio (PSNR), Mean Squared Error (MSE) and Mean Absolute Error (MAE) and Execution Time. ...
This paper deals with the comparative study of research work done in the field of Image Filtering. Different noises can affect the image in different ways. ...
of fuzzy pixel) for removal of Impulse noise for Lena. ...
doi:10.47893/ijipvs.2013.1029
fatcat:do45b2frwfctfc4em5ffwymj2i
Fuzzy Metrics And Peer Groups For Impulsive Noise Reduction In Color Images
2006
Zenodo
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Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006 ...
The usefulness of the peer groups and fuzzy metrics for impulsive noise detection and removal is shown. ...
CONCLUSIONS In this paper, the peer group concept has been adapted to the use of a certain fuzzy metric. Using this concept, a novel filter for impulsive noise removal has been introduced. ...
doi:10.5281/zenodo.53286
fatcat:zoyb7sd36jaslbi2f2medse3cq
Hybrid Filter Based on Fuzzy Techniques for Mixed Noise Reduction in Color Images
2019
Applied Sciences
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A filter based on a fuzzy metric is used for the reduction of impulse noise at the first stage. ...
The new approach can efficiently reduce both impulse and Gaussian noise, as much as mixed noise. ...
Acknowledgments: The authors would like to thank the editor and reviewers for their comments and suggestions, which helped to improve the quality of the paper significantly. ...
doi:10.3390/app10010243
fatcat:7icrlgbfrvh6hplokefcybtybe
A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems
2013
Procedia Computer Science
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A parallel algorithm for image noise removal is proposed. The algorithm is based on peer group concept and uses a fuzzy metric. ...
An optimization study on the use of the CUDA platform to remove impulsive noise using this algorithm is presented. ...
Conclusions A parallel algorithm based on peer group concept that uses a fuzzy metric has been proposed to detect and remove impulsive noise in digital images. ...
doi:10.1016/j.procs.2013.05.429
fatcat:kfgr7fmfhvbdvlwsnyqdmrhpfa
High Density Impulse Noise Removal from Color Images by K-means Clustering based Detection and Least Manhattan Distance-oriented Removal Approach
2021
International Journal of Advanced Computer Science and Applications
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In this study, a combination of K-means clustering-based detection followed by a minimum distance-based approach for removal is taken for high-density impulse noise removal from color images. ...
Performance of the proposed method is evaluated and compared up against the latest filters, on the basis of well-known metrices, such as Peak signal to noise ratio (PSNR) and Structural similarity index ...
Sonali Banerjee and Ms. Koyel Chakraborty for their relentless inspiration and motivation that abetted us to conduct this work in this tough time around. ...
doi:10.14569/ijacsa.2021.0121067
fatcat:ea7p4r6vrrbo7p2tw6kqbc74rq
Multi-dimensional image processing
2005
Real-time imaging
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Finally, a word of appreciation for Nasser Kehtarnavaz, Editor-In-Chief of the Real-Time Imaging Journal for giving us the opportunity to edit a special issue on multidimensional imaging. ...
Acknowledgements The Guest Editors would like to thank the authors of the articles for their contributions and kind cooperation, as well as to acknowledge the valuable management done by the administrative ...
Morillas et al. propose in their paper entitled ''A Fast Impulsive Noise Color Image Filter Using Fuzzy Metrics'' a new fuzzy metric for calculation of the aggregated distances between color pixels inside ...
doi:10.1016/j.rti.2005.08.002
fatcat:pnig6atqgfflhf2ltxanenqwvq
A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
2008
IEEE transactions on fuzzy systems
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Index Terms-Fuzzy decision system, human visual system (HVS), impulse noise, neural network (NN), noise removal. ...
In this paper, a novel two-stage noise removal algorithm to deal with impulse noise is proposed. ...
[34] , [35] proposed a fuzzy derivative estimation for noise detection and a fuzzy smoothing of neighboring pixels for noise removal. ...
doi:10.1109/tfuzz.2008.917297
fatcat:p6pn2kidzrcphomarchv7nsdsq
A Review on Removal of Salt And Pepper Noise From Digital Images
2016
International Journal Of Engineering And Computer Science
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Different noise models were studied. Different filtering techniques in both spatial and frequency domains, were studied and improved algorithms were written and simulated using matlab. ...
We can restore the images by prior knowledge of the noise or the disturbance that causes the degradation in the image. Image restoration is done in two domains: spatial domain and frequency domain. ...
a novel adaptive iterative fuzzy filter for denoising images corrupted by impulse noise. ...
doi:10.18535/ijecs/v5i9.56
fatcat:k5beis3fmbc7nelesqnga7vmmi
IMPROVED NEGATIVE SELECTION BASED DECISION BASED MEDIAN FILTER FOR NOISE REMOVAL
2015
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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For de-noising an image, various filtering techniques are used but they have contradiction between noise removal and Edge preservation in an image. ...
In this paper we purpose a new technique that remove the noise and also preserve edges from image. ...
Impulse noise was removed by a method of improvement of selection of threshold and filtering templates of median filter.Jourabloo.A. et al. (2012)[8] In this paper author proposed a new method of noise ...
doi:10.24297/ijct.v14i8.1863
fatcat:ydhtywab75byxahvav2jrwhe5y
Removing random-valued impulse noise in images using a neural network detector
2014
Turkish Journal of Electrical Engineering and Computer Sciences
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This paper proposes a new method using an artificial neural network to remove random-valued impulse noise (RVIN) in images. ...
The inputs of the neural model used to detect the RVIN are formed using basic and related gradient values. ...
Acknowledgment The author is grateful to Dr Stefan Schulte for sending source codes of some of the comparison filters mentioned in this paper. ...
doi:10.3906/elk-1208-77
fatcat:57xnn6dk4fhrjajqo3w2kkk6g4
Survey on Noise Removal in Digital Images
2012
IOSR Journal of Computer Engineering
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We have considered three types of noises: Impulse noises, Speckle noise, Gaussian noise from two most useful images: sensor images, medical images and gray scale images. ...
We analyze all noise removal algorithms for each noise from each of these images. ...
Sreedevi et. al [10] proposed a method to remove impulse noise using Min-Max filter and Mid-Point filter. ...
doi:10.9790/0661-0644551
fatcat:il2u5ewsnvdubawoa3ez2w4htu
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images
[article]
2019
arXiv
pre-print
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In this paper, we present a switching filtering design intended for impulsive noise removal using deep learning. ...
In the proposed method, the impulses are identified using a novel deep neural network architecture and noisy pixels are restored using the fast adaptive mean filter. ...
The classical method for removal of impulsive noise is the median filter. ...
arXiv:1912.01721v1
fatcat:ouuqjczt6vgsbczsvf2epsnble
Fast averaging peer group filter for the impulsive noise removal in color images
2015
Journal of Real-Time Image Processing
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In the paper, a new approach to the impulsive noise removal in color images is presented. ...
The new filtering design proved to restore efficiently color images corrupted by even strong impulsive noise, while preserving tiny image details. ...
Summary and conclusions In this paper, a new efficient technique of impulsive noise removal was proposed. ...
doi:10.1007/s11554-015-0500-z
fatcat:roucf3hytfagdivgukzyyid6cu
Comparative Analysis of Median Filter and its Variants for Removal of Impulse Noise from Gray Scale Images
2020
Journal of King Saud University: Computer and Information Sciences
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This paper presents a comprehensive study of the median filter and its different variants to reduce or remove the impulse noise from gray scale images. ...
For benchmarking the relative performance, we have used Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), Universal Image Quality Index (UQI), Structural Similarity Index (SSIM) and Edge-strength ...
C.8 A new filter for removal of salt and pepper noise (NSPF) NSPF [34] is a modification of a classic median filter and used to detect and refine the noisy pixels in a gray-scale image. ...
doi:10.1016/j.jksuci.2020.03.007
fatcat:svkulqd3wffb3an2otbyqvzzsm
Impulse noise removal by k-means clustering identified fuzzy filter: a new approach
2020
Turkish Journal of Electrical Engineering and Computer Sciences
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KMCIFF consists of a K-Means clustering-based high density impulse noise detection, followed by a 8 fuzzy logic-oriented noise removal mechanism. ...
Different filters have been designed 5 for noise removal purpose and have shown formidable results mostly for low and medium level noise densities. ...
A new fast and efficient decision based algorithm for removal of high density impulse noises. ...
doi:10.3906/elk-1910-34
fatcat:iwnrueg2ovh65glferqkh273pi
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