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A survey on impulse noise removal techniques in image processing

Baby Victoria L., Sathappan S.
2018 International Journal of Advanced Technology and Engineering Exploration  
Over the past decades, several approaches have been proposed for removing the impulse noise from the images in such a way that the most significant information of the images is preserved.  ...  Abstract In image processing, an essential and most challenging process is removing the noise from the color images.  ...  A better noise filter is required for satisfying two criteria such as noise suppression and useful information preserving in the image with low computational complexity [3] .  ... 
doi:10.19101/ijatee.2018.543008 fatcat:7bomp65gang5xh22z262v5odxm

A Novel Approach for Mixed Noise Removal using 'ROR' Statistics Combined WITH ACWMF and DPVM

Remya Soman, Jency Thomas
2014 International Journal of Computer Applications  
In this paper a mixed noise removal framework using Robust Outlyingness ratio (ROR) statistics combined with adaptive center weighted median and detail preserving variational approach is discussed.  ...  Final stage of filtering is done by means of Non Local Means filter.  ...  Impulse noise reduction at the same time detail preservation is an essential requirement for further image processing stages, however achieving these two are difficult.  ... 
doi:10.5120/15076-3442 fatcat:gwr5lo5ghngfbet2mxefsd4ahq

A Novel Approach for Salt and Pepper Noise Removal using ROR and Contourlet Transform

M. MohanaDhas, G. Suganthi
2013 International Journal of Computer Applications  
In addition, the detection procedure consists of two stages, i.e., the coarse and fine detection stages. For filtering, proposed algorithm using contourlet transform (CT).  ...  ROR and Contourlet transform is proposed to restore images corrupted by salt and pepper impulse noise. The operation is carried out in two stages, i.e., detection followed by filtering.  ...  During the detection process, the from coarseto-fine strategy is used. In addition, the detection process contains two stages, i.e., the coarse stage followed by the fine stage.  ... 
doi:10.5120/12383-8735 fatcat:csehz2gbtvfshdxqk4ipizde5u

An Advanced AFWMF Model for Identifying High Random-Valued Impulse Noise for Image Processing

Jieh-Ren Chang, You-Shyang Chen, Chih-Min Lo, Huan-Chung Chen
2021 Applied Sciences  
in image processing.  ...  Conclusively, two interesting and meaning findings are identified: (1) the proposed AFWMF model is generally the best model among the 10 listed filtering methods for image processing in terms of the measurement  ...  Therefore, it modifies both undisturbed pixels and pixels with noise, and some detail which must be preserved in an image is removed [1] .  ... 
doi:10.3390/app11157037 fatcat:asetmncjqrcbjdgyinye5irobe

Rank M-type Filters for Image Denoising [chapter]

Francisco J., Alberto J.
2009 Image Processing  
noise suppression, fine detail preservation, and color retention.  ...  So, such filters use the value of the central pixel within the filtering window to provide the preservation of fine details and the redescending M-estimators combined with the calculation of the rank estimator  ...  Rank M-type Filters for Image Denoising, Image Processing, Yung-Sheng Chen (Ed.), ISBN: 978-953-307-026-1, InTech, Available from:  ... 
doi:10.5772/7044 fatcat:s7lnrz7yenfgfo7hiuirn2s6xe


Rastislav Lukac, Konstantinos N. Plataniotis, Bogdan Smolka
2006 Computational Imaging and Vision  
This paper presents a family of adaptive color image filters based on robust order-statistics and local contrast entropy control.  ...  color image processing applications such as virtual restoration of artworks.  ...  The VMF has the robust noise attenuation capability. However, the drawback is its low signal-detail preserving capability.  ... 
doi:10.1007/1-4020-4179-9_44 dblp:conf/iccvg/LukacPS04 fatcat:rzcjuu2pc5hfno4jfebnf3psh4

An Efficient Approach for Removal of Impulse Noise from Highly Corrupted Images

Tanzila Rahman, Liton Rozario, Mohammad Uddin
2015 SOP Transactions on Signal Processing  
Final result shows better performance in the impulse noise reduction over standard images relative to the conventional median filtering approach in terms of both noise reduction and fine detail preservation  ...  In this paper, a method based on adaptive fuzzy filter is used to denoise image corrupted by impulse noise.  ...  CONCLUSION In this paper an adaptive fuzzy filter is proposed to remove high density salt and pepper noise with fine detail preservation. The filter perform well for both gray scale and color images.  ... 
doi:10.15764/stsp.2015.01004 fatcat:6xpnf6rlxjf4td6o5pyuodhizm

Detail Preserving Fast Median Based Filter

Geeta Hanji, Mrutunjaya Latte
2012 Journal of Advanced Computer Science & Technology  
The proposed Detail Preserving Fast Median Filtering (DPFMF) technique is more effective in eliminating fixed value impulse noise and preserving the image details.  ...  Simulation studies show that the proposed filter can eliminate impulse noise of densities up to 80% while preserving the edges and fine details satisfactorily.  ...  Acknowledgements The authors are grateful to the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.14419/jacst.v1i4.248 fatcat:blkvjaqbgbfp3hxvyvrqwx272u

Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking

Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Moreover, the correlation filter layer working on the fine-grained representations leverages a global context constraint for accurate object appearance modeling.  ...  The correlation filter in this layer is updated online efficiently without network fine-tuning.  ...  The results prove that robust and accurate target localization can be achieved by the cooperation of our two complementary parts, namely the fine-grained context-aware correlation filter based tracking  ... 
doi:10.24963/ijcai.2018/137 dblp:conf/ijcai/WangZXGHM18 fatcat:vuixvii3hfdw5pp5snso2kxaom

Efficient Restoration Method for Images Corrupted with Impulse Noise

Zayed M. Ramadan
2011 Circuits, systems, and signal processing  
This paper proposes a two-stage adaptive method for restoration of images corrupted with impulse noise.  ...  The experimental results for the proposed method demonstrate that it is faster and simpler than even median filtering, and it is very efficient for images corrupted with a wide range of impulse noise densities  ...  Moreover, the method does not require any boundary corrections and does not use any threshold value and still preserves fine details and edges.  ... 
doi:10.1007/s00034-011-9380-z fatcat:dhybb7enrfcjrojzczp6j3ooua

An expeditious cum efficient algorithm for salt-and-pepper noise removal and edge-detail preservation using cardinal spline interpolation

Syamala Jayasree, Kireeti Bodduna, Prasant Kumar Pattnaik, Rajesh Siddavatam
2014 Journal of Visual Communication and Image Representation  
This paper introduces a method for removal of salt-and-pepper impulsive noise from images while preserving edges and fine details. The method consists of two stages: detection and filtering.  ...  In the detection stage, two conditions must be satisfied for a pixel to be considered noisy.  ...  For 8-bit gray images, this noise takes on two extreme values, namely 255 for salt and 0 for pepper with equal probability. The proposed method consists of two stages: detection and filtering.  ... 
doi:10.1016/j.jvcir.2014.05.004 fatcat:zyvxqiyjyjdv3equefi3srq75q

An Adaptive Learning and Classifier Model in MRI Tumor Detection

Somashekhar Swamy, P. K.
2017 International Journal of Computer Applications  
It is required to minimize the noise effect with preserving the image content information, without losing the image generality.  ...  In the process of image coding, external noises impact a lot in processing efficiency. In the application of medical image processing, this effect is more, important due to its finer content details.  ...  In [12] a robust estimation based filter is proposed to remove low to medium density Gaussian noise with detail preservation.  ... 
doi:10.5120/ijca2017915546 fatcat:nyaajshmq5ggzjavkovgjhvlsa

A Novel Weighted Median Switching Filter for Denoising Corrupted Images

Saurabh Agrawal, J. S. Yadav, Ravindranath C. C
2013 International Journal of Computer Applications  
The proposed algorithm can be applicable to digital images with most of the fine details of the image are mostly preserved.  ...  Based on this classification the weights associated with the median filter employed for denosing is determined.  ...  Further, the proposed algorithm have successfully applied to digital images with most of the fine details of the image are preserved.  ... 
doi:10.5120/10756-5629 fatcat:uo35pw6e3rfvtefkgxnzhjq7eq

Mesh Denoising via Adaptive Consistent Neighborhood

Mingqiang Guo, Zhenzhen Song, Chengde Han, Saishang Zhong, Ruina Lv, Zheng Liu
2021 Sensors  
We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering.  ...  With the help of the adaptive consistent neighborhoods, our guided normal filtering can preserve geometric features well, and is robust against complex shapes of surfaces.  ...  Bilateral filtering is a representative method in these anisotropic methods, which has been successfully applied in image processing for its ability of preserving features.  ... 
doi:10.3390/s21020412 pmid:33435554 fatcat:sw7t63lvkrfetoaqpdf3y5iiou

A Review : Various Image Denoising Techniques

Archita SinghParihar, Megha Jain
2014 International Journal of Computer Applications  
Images may be corrupted by noise during image transmission through electronic media. Noise effect always corrupts any recorded image which is much more harmful for future process.  ...  Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored.  ...  The median filter, especially with a larger window size destroys the fine image details due to its rank ordering process.  ... 
doi:10.5120/16596-6399 fatcat:pwog5mxw2feyrnky3uxohijuqa
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