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Fuzzy Metrics And Peer Groups For Impulsive Noise Reduction In Color Images

Samuel Morillas
2006 Zenodo  
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.  ...  The usefulness of the peer groups and fuzzy metrics for impulsive noise detection and removal is shown.  ... 
doi:10.5281/zenodo.53286 fatcat:zoyb7sd36jaslbi2f2medse3cq

Hybrid Filter Based on Fuzzy Techniques for Mixed Noise Reduction in Color Images

Josep Arnal, Luis Súcar
2019 Applied Sciences  
A filter based on a fuzzy metric is used for the reduction of impulse noise at the first stage.  ...  To decrease contamination from a mixed combination of impulse and Gaussian noise on color digital images, a novel hybrid filter is proposed. The new technique is composed of two stages.  ...  The mixed noise was suppressed by applying first a switching method based on a fuzzy metric intended for the suppression of impulses, and then a fuzzy average filtering developed for the attenuation of  ... 
doi:10.3390/app10010243 fatcat:7icrlgbfrvh6hplokefcybtybe

A COMPARATIVE STUDY OF IMAGE FILTERING ON VARIOUS NOISY PIXELS

SONALI R. MAHAKALE, NILESHSINGH V. THAKUR
2013 International Journal of Image Processing and Vision Science  
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.  ...  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.  ...  , Kapil Kumar Nagwanshi Fuzzy derivates for 8- neighboring pixels Fuzzy smoothing using membership function Speckle Noise Ultrasound image Feasible For color image 31 A New Approach  ... 
doi:10.47893/ijipvs.2013.1029 fatcat:do45b2frwfctfc4em5ffwymj2i

On the importance of metrics in practical applications

Joan-Gerard Camarena, Samuel Morillas, F.J. Cisneros
2011 Modelling in Science Education and Learning  
We study the performance of different metrics, including recent fuzzy metrics, within a specific filter to show that it is indeed a critical choice to appropriately solve the task.  ...  In this work we aim to illustrate how important is to appropriately choose the metric when dealing with a practical problem.  ...  To do so, using the same filtering procedure, we present a study of the performance of different metrics, including recent fuzzy metrics and a novel fuzzy metric specifically designed to detect impulses  ... 
doi:10.4995/msel.2011.3066 fatcat:nl47iwq4nrgvvoj52n5k5yuica

Fast averaging peer group filter for the impulsive noise removal in color images

Lukasz Malinski, Bogdan Smolka
2015 Journal of Real-Time Image Processing  
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.  ...  These metrics were extended so that they can be used for the inspection of color images.  ... 
doi:10.1007/s11554-015-0500-z fatcat:roucf3hytfagdivgukzyyid6cu

Multi-dimensional image processing

Rastislav Lukac, Phillip A. Laplante, Konstantinos N. Plataniotis
2005 Real-time imaging  
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.  ...  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 team of the Real-Time Imaging  ...  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

Comparison of Noise Removal Techniques Using Bilateral Filter

Manjeet Kaur, Shailender Gupta
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
However when the image is corrupted with mixed Gaussian and impulse noise, SBF gives the best results of PSNR value, MSE value, MAE value , NCD value and a good picture quality of de-noised image.  ...  This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral Filter(MBF), Joint Bilateral Filter(JBF), Fuzzy Bilateral Filter(FBF) and Switching Bilateral Filter(SBF).  ...  Fuzzy Bilateral Filter (FBF) S. Morillas et. al., proposed Fuzzy bilateral filter [14] by adapting the classical bilateral filtering using fuzzy metrics.  ... 
doi:10.14257/ijsip.2016.9.2.37 fatcat:cqmirwqhijfdjafvg6ttskmxfy

Nonlinear vector filtering for impulsive noise removal from color images

Hassan A. Kingravi
2007 Journal of Electronic Imaging (JEI)  
In this paper, a comprehensive survey of 48 filters for impulsive noise removal from color images is presented. The filters are formulated using a uniform notation and categorized into 8 families.  ...  The performance of these filters is compared on a large set of images that cover a variety of domains using three effectiveness and one efficiency criteria.  ...  Sources for the images in Fig. 1 are as follows: http://pics.tech4learning.com ͑a-d, g͒, EDRA Interactive Atlas of Dermoscopy ͑h͒, and Dr. Peter Alfeld ͑i͒.  ... 
doi:10.1117/1.2772639 fatcat:zaq3fdzqmrfbhc65wzmmp2o3ta

A Review on the Rule-Based Filtering Structure with Applications on Computational Biomedical Images

Xiao-Xia Yin, Sillas Hadjiloucas, Le Sun, John W. Bowen, Yanchun Zhang, Man Fai Leung
2022 Journal of Healthcare Engineering  
A number of typical fuzzy multichannel filtering approaches are provided in order to clarify the different fuzzy filter designs and compare different algorithms.  ...  In this paper, we present rule-based fuzzy inference systems that consist of a series of mathematical representations based on fuzzy concepts in the filtering structure.  ...  N s (x) � 1 − x is used to calculate a fuzzy set impulse noise-free.  ... 
doi:10.1155/2022/2599256 pmid:35299677 pmcid:PMC8923774 fatcat:4tb3qmy5kzcdfpdnoptfe34ebe

Parallel Peer Group Filter for Impulse Denoising in Digital Images on GPU

José Agustín Tortolero Osuna, Alberto Jorge Rosales Silva
2019 Computing and informatics  
It consists of two steps: impulsive noise detection, which uses a Fuzzy Metric as a distance criterion and a filtering step.  ...  A new two-steps impulsive noise parallel Peer Group filter for color images using Compute Unified Device Architecture (CUDA) on a graphic card is proposed.  ...  th do 3: for all the P χ j labeled as noise free pixels within W do Filter FilteringArray χ j use either the VMF or the AMF 7: end for 8: end function PROPOSED MODIFIED PEER GROUP FUZZY METRIC FILTER  ... 
doi:10.31577/cai_2019_6_1320 fatcat:saqfbi5s6jdydaz4iep4lduyye

High Density Impulse Noise Removal from Color Images by K-means Clustering based Detection and Least Manhattan Distance-oriented Removal Approach

Aritra Bandyopadhyay, Kaustuv Deb, Atanu Das, Rajib Bag
2021 International Journal of Advanced Computer Science and Applications  
Removal of impulse noise from color images is a stringent job in the arena of image processing.  ...  Over the years, several filters have been designed to remove impulse noise from color images, but still, the researchers face a stringent challenge in designing a filter effective at high noise densities  ...  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

Nonlinear Techniques for Color Image Processing [chapter]

Bogdan Smolka, N Plataniotis, Anastasios Venetsanopoulos
2003 Nonlinear Signal and Image Processing  
in Tab. 1.3 using synthetic and natural color images corrupted by Gaussian and mixed Gaussian and impulsive noise.  ...  . 1.3) using the LENA color image corrupted by mixed Gaussian and impulsive noise, (σ = 30, p = 0.12, p 1 = p 2 = p 3 = 0.25).  ... 
doi:10.1201/9780203010419.ch12 fatcat:dbvkk6u3jbhphowueoulfos7wi

Novel peer group filtering method based on the CIELab color space for impulse noise reduction

Kuo-Liang Chung, Wei-Ning Yang, Yu-Ren Lai, Le-Chung Lin
2012 Signal, Image and Video Processing  
This paper presents a novel peer group filtering method, called the NPGF method, for impulse noise reduction. The main contributions of the proposed method are two-fold.  ...  First, we propose that the impulse noise detection is performed in the CIELab, instead of the RGB, color space to enhance noise detectability.  ...  [17] proposed a fast peer group based filtering method in which a pixel is identified as non-corrupted when the size of peer group is larger than a threshold in the fuzzy metrics context.  ... 
doi:10.1007/s11760-012-0403-4 fatcat:mpn55kboy5cn7c5to7xnbgfrnm

Analysis of a robust edge detection system in different color spaces using color and depth images

S.M.H. Mousavi, V. Lyashenko, V.B.S. Prasath
2019 Computer Optics  
System is going to be tested with 10 benchmark test images for color and 5 images for depth format, and validate using 7 Image Quality Assessment factors such as Peak Signal-to-Noise Ratio, Mean Squared  ...  System is based on a lot of pre and post-processing techniques such as filters and morphological operations, and applying modified Ant Colony Optimization edge detection method to the image.  ...  In digital image processing Gaussian noise can be reduced using a spatial filter, and smoothing the image with a low pass filter [14 -15] .  ... 
doi:10.18287/2412-6179-2019-43-4-632-646 fatcat:7jlsajvyhjcxrgy3k33sxvy3b4

An Improved Adaptive Bilateral Filter to Remove Gaussian Noise from Color Images

Manjeet Kaur, Shailender Gupta, Bharat Bhushan
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
This paper proposes an improved modified adaptive Bilateral Filter to remove Gaussian noise from colour images.  ...  Introduction of noise in image causes variation in brightness or colour information. Various noises such as Gaussian, Impulse, Speckle, Periodic andPoisson noise deteriorates the picture quality.  ...  Fuzzy Bilateral Filter: In FBF [5] [6] a particular class of fuzzy metrics is used to represent the spatial and photometric relations between the colour pixels adapting the classical bilateral filtering  ... 
doi:10.14257/ijsip.2015.8.3.05 fatcat:rxgte4a6nzf4tmztfgnxa645yy
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