Relevant bibliographies by topics / Salt and pepper noise reduction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Salt and pepper noise reduction'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Salt and pepper noise reduction"

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Farshi, Taymaz Rahkar. "Image Noise Reduction Method Based on Compatibility with Adjacent Pixels." International Journal of Image and Graphics 17, no. 03 (2017): 1750014. http://dx.doi.org/10.1142/s0219467817500140.

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This paper proposes an efficient noise reduction method for gray and color images that are contaminated by salt-and-pepper noise. In the proposed method, the pixels that are more compatible with adjacent pixels are replaced with target (noisy) pixels. The algorithm is applied on noisy Lena and Mansion images that are contaminated by salt-and-pepper noise with 0.1 and 0.2 noise intensities. Although this method is developed for reducing noise from the images that are contaminated by salt-and-pepper noise, it can also reduce the noise from the images that are contaminated by other types of noise
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Abdeljalil Al-Balqa, Dr Jihad N. "An efficient Scheme to Remove Low Density Impulse Noise From A Digital Image." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 12 (2016): 7284–89. http://dx.doi.org/10.24297/ijct.v15i12.4351.

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An improved adaptive noise reduction scheme for images that are highly corrupted by Salt-and-Pepper noise(impulse noise), is proposed in this paper which efficiently removes the salt and pepper noise while preserving the details. The proposed scheme efficiently identifies and reduces salt and pepper noise. The algorithm utilizes an IIR filter with controlled parameters to get better image quality than the existing methods of noise removing. A comparative analysis between the proposed scheme and other techniques of noise reduction or removing is presented in order to show the advantages of the
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Dong, Jing, Zhi Chai, and Ke Wen Xia. "A Combination Approach to Noise Reduction in Digital Image Processing." Applied Mechanics and Materials 278-280 (January 2013): 1359–65. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1359.

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In order to reduce Gaussian and Salt & Pepper noises, a combination approach to noise reduction is presented by combining the median filter with the mean filter. The detail simulations show that the mode which the median filtering first and then the mean filtering is superior to that of the simply single filtering, or the mean filtering first and then the median filtering when the image obviously contain the Salt & Pepper noise. On the other hand, it is not necessarily the optimal scheme to use the mode which the mean filtering first and then the median filtering when the digital image
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Irviantina, Syanti, and Irpan Pardosi. "Salt and Pepper Noise Removal dengan Spatial Median Filter dan Adaptive Noise Reduction." Jurnal SIFO Mikroskil 17, no. 2 (2016): 127–36. http://dx.doi.org/10.55601/jsm.v17i2.348.

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Noise (gangguan) pada citra tidak hanya terjadi karena ketidaksempurnaan dalam proses pengambilan gambar ataupun pada saat proses transmisi. Melainkan juga dikarenakan kotoran-kotoran yang terjadi pada sebuah citra. Ada beberapa noise yang dapat melekat pada sebuah citra dan salah satunya adalah Salt and Pepper noise yang berupa titik-titik hitam atau??? putih yang tersebar pada sebuah citra. Banyak metode yang dapat digunakan untuk mereduksi atau mengurangi noise yang terdapat pada citra, dan dalam jurnal ini metode yang dapat digunakan dalam mengurangi salt and pepper noise??? ini adalah met
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Gebreyohannes, Tina. "Adaptive Noise Reduction Scheme for Salt and Pepper." Signal & Image Processing : An International Journal 2, no. 4 (2011): 47–55. http://dx.doi.org/10.5121/sipij.2011.2405.

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Suriyan, Kannadhasan, Nagarajan Ramaingam, Sudarmani Rajagopal, Jeevitha Sakkarai, Balakumar Asokan, and Manjunathan Alagarsamy. "Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 286–92. http://dx.doi.org/10.11591/eei.v11i1.3332.

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The problem of denoising iris pictures for iris identification systems will be discussed, as well as a novel solution based on wavelet and median filters. Different salt and pepper extraction algorithms, as well as Gaussian and speckle noises, were used. Because diverse sounds decrease picture quality during image collection, noise reduction is even more important. To reduce sounds like salt and pepper, Gaussian, and speckle, filtering (median, wiener, bilateral, and Gaussian) and wavelet transform are utilised. Provide better results as compared to other ways. A study of several efficiency in
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Kannadhasan, Suriyan, Ramaingam Nagarajan, Rajagopal Sudarmani, Sakkarai Jeevitha, Asokan Balakumar, and Alagarsamy Manjunathan. "Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 286–92. https://doi.org/10.11591/eei.v11i1.3332.

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The problem of denoising iris pictures for iris identification systems will be discussed, as well as a novel solution based on wavelet and median filters. Different salt and pepper extraction algorithms, as well as Gaussian and speckle noises, were used. Because diverse sounds decrease picture quality during image collection, noise reduction is even more important. To reduce sounds like salt and pepper, Gaussian, and speckle, filtering (median, wiener, bilateral, and Gaussian) and wavelet transform are utilised. Provide better results as compared to other ways. A study of several efficiency in
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Zaini, Hatim, and Ziad Alqadi. "High Salt and Pepper Noise Ratio Reduction." International Journal of Computer Science and Mobile Computing 10, no. 9 (2021): 88–97. http://dx.doi.org/10.47760/ijcsmc.2021.v10i09.009.

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Colored digital images are affected by salt and pepper noise, affecting their clarity, contents and properties. The negative effect on the image increases with the increase in the noise level. Filters based on average and median filters are not able to remove SAPN with high noise ratios, and accordingly, blurred images are obtained that cannot be dealt with in various image processing operations. In this paper research a modification will be add to median and average filters making them capable of reducing the noise even it has a high noise ratio, the modified average and median filters will b
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N. Hussin, Kholood, Ali K. Nahar, and Hussain Kareem Khleaf. "A hybrid bat-genetic algorithm for improving the visual quality of medical images." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 220. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp220-226.

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Efficient repression of noise in a medical image is a very significant issue. This paper proposed a method to denoise medical images by the use of a hybrid adaptive algorithm based on the bat algorithm (BA) and genetic algorithm (GA). Medical images can be often affected by different kinds of noise that decrease the precision of any automatic system for analysis. Therefore, the noise reduction methods are always utilized for increasing the Peak signal-to-noise ratio (PSNR) and the structural similarity index measure (SSIM) of images to optimize the originality. Gaussian noise and salt and pepp
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Hussin, Kholood N., Ali K. Naha, and Kareem Hussain. "A hybrid bat-genetic algorithm for improving the visual quality of medical images." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 220–26. https://doi.org/10.11591/ijeecs.v28.i1.pp220-226.

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Efficient repression of noise in a medical image is a very significant issue. This paper proposed a method to denoise medical images by the use of a hybrid adaptive algorithm based on the bat algorithm (BA) and genetic algorithm (GA). Medical images can be often affected by different kinds of noise that decrease the precision of any automatic system for analysis. Therefore, the noise reduction methods are always utilized for increasing the Peak signal-to-noise ratio (PSNR) and the structural similarity index measure (SSIM) of images to optimize the originality. Gaussian noise and salt and pepp
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Dissertations / Theses on the topic "Salt and pepper noise reduction"

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Nell, Henrik. "Quantifying the noise tolerance of the OCR engine Tesseract using a simulated environment." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4028.

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->Context. Optical Character Recognition (OCR), having a computer recognize text from an image, is not as intuitive as human recognition. Even small (to human eyes) degradations can thwart the OCR result. The problem is that random unknown degradations are unavoidable in a real-world setting. ->Objectives. The noise tolerance of Tesseract, a state-of-the-art OCR engine, is evaluated in relation to how well it handles salt and pepper noise, a type of image degradation. Noise tolerance is measured as the percentage of aberrant pixels when comparing two images (one with noise and the other
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Sheikh, Munaf. "Robust recognition of facial expressions on noise degraded facial images." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7054_1306828003.

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<p>We investigate the use of noise degraded facial images in the application of facial expression recognition. In particular, we trained Gabor+SVMclassifiers to recognize facial expressions images with various types of noise. We applied Gaussian noise, Poisson noise, varying levels of salt and pepper noise, and speckle noise to noiseless facial images. Classifiers were trained with images without noise and then tested on the images with noise. Next, the classifiers were trained using images with noise, and then on tested both images that had noise, and images that were noiseless. Finally, clas
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李皇緯. "A Study on Detection and Reduction Salt & Pepper Impulse Noise in Digital Image." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/69779486665812212955.

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碩士<br>國立彰化師範大學<br>資訊工程學系<br>96<br>A new algorithm is proposed to remove impulse noise. It is a powerful impulse noise detection method, and it can effectively restore extremely corrupted images. First, a noise image is divided into 8 × 8 blocks, which are neighboring, but not overlap. Then, according to the attribute of noise, we class all pixels in the block into three groups. We can determine each pixel in the block as noise or noise-free effectively and accurately. If there are extreme pixel values in the block, we use another method to do this work. When corrupted and uncorrupted pixels ar
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Gu, Shin-Jung, and 辜信榮. "The PI-Remover Design for Salt-and-Pepper Noise Elimination." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/26459820591950087099.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>97<br>This thesis proposes a new filtering scheme _PI remover for effectively eliminating the salt-and-pepper noise of images. The PI-remover can be created straightforwardly based on the concept of Proportional-Integral (PI)controller. Similar as the design of PI-controller, the PI-remover also has the proportional parameter and integral parameter , that are used to weight the noisy pixels. The modified adaptive-median filter (AMF) is used to detect the possible noisy pixels. The noisy pixels are compensated to approach an objective value by running few iteratio
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Hong, Zi-Hao, and 洪梓豪. "Salt-and-Pepper Noise Removal Based on Moving Least Squares." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64160670253575541172.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>102<br>In the field of image processing, noise handling has been an important issue. A good noise handling algorithm can not only reduce the number of noises and retain image details but also take little computation time. The main purpose of this thesis is to explore how to restore a higher degree of reduction in the noise image affected by the salt-and-pepper effect. In this thesis we propose an algorithm based on the moving least squares (MLS), which has been widely used in 3D computer graphics and has a significant effect on removing 3D redundant points and smooth
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WEN, WEI-CHENG, and 溫偉程. "VLSI Implementation for Efficient Removal of Salt-and-Pepper Noise." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/kw2j3z.

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碩士<br>國立高雄科技大學<br>電子工程系<br>107<br>Images might be degraded by noise in the process of signal acquisition and transmission, so an efficient denoising technique is necessary for various image processing applications. Recently, many image denoising methods for removing salt-and-pepper noise have been proposed. Some of them yield visually pleasing images by using high computational complexity arithmetic operations, enlarging local window size adaptively or doing iterations. Today, in many practical real-time applications, the denoising process is included in end-user equipment, so a good denoising
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CHEN, JUI-HAN, and 陳睿瀚. "Removal of Salt-and-Pepper Noise Using Convolutional Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7q8p6z.

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碩士<br>亞洲大學<br>資訊傳播學系<br>107<br>A captured image may be interfered with by impulse noise during acquisition or transmission, which will deteriorate the quality of the image. The demand of image quality is also increasing, so the enhancement of corrupted images is important, such as the X-ray and other medical images. This thesis presents a new method based on the Convolutional Neural Network (CNN) for noise removal. First, each noise pixel is analyzed by using a sliding window, and compared with the original image. The nearest neighbor pixel is selected to be the restored pixel. A larger window
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Tsai, Chung-Yen, and 蔡長諺. "An Adaptive rank-ordered median image filter for removing salt-and-pepper noise." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/85321261718712234697.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>94<br>In this thesis, I propose an adaptive rank-ordered median image filter for removing salt-and-pepper noise. Our method is suitable for images corrupted highly and it can be implemented easily with hardware due to its low computation complexity. Generally speaking, the image filter performs two functions: the first is the impulse noise detection, and the other is the image filtering. The main focus of this thesis is impulse noise detection. We use the brightest and lightest pixels in the mask to decide the current pixel as impulse noise or not, and use the abs
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LIU, LI-LING, and 劉俐伶. "Improvement of Image Denoising Algorithm Using Confidence Measure for Salt-and-Pepper Noise Removal." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/mk979p.

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碩士<br>亞洲大學<br>資訊傳播學系<br>105<br>Digital images are widely used nowadays. However the quality of a digital image would be deteriorated by the corruption of impulse noise in the acquisition or transmission, casusing the errorneous judgement for the human eye or machine. How to effectively remove this impulse noise for a corrupted image is an important research task. Most of the image denoising methods process each noise-corrupted pixel from the top-left to the bottom-right of the images using a sliding window. The regions first processed will affect the subsequent image area. If a heavily noise-c
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HSU, CHIH-CHAN, and 許志群. "Removal of Salt-and-Pepper Noise Using Gain Factors Adapted by Noise-Free Pixel Number and Pixel Variation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/k5bz92.

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碩士<br>亞洲大學<br>資訊傳播學系<br>105<br>A digital image would be corrupted by impulse noise at the time of capturing or transmission, causing the quality of the image to be deteriorated. Noise interference is disadvantageous for further process on the noise-corrupted image. How to effectively remove this impulse noise for a noise-corrupted image is an important research task. In this thesis, we propose a gain factor adapted by noise-free pixel number and pixel variation for the removal of salt-and-pepper noise, enabling the quality of the image to be improved. Initially, a sliding window with the size
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Book chapters on the topic "Salt and pepper noise reduction"

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Nayak, Deepak Ranjan, Ratnakar Dash, and Banshidhar Majhi. "Salt and Pepper Noise Reduction Schemes Using Cellular Automata." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2529-4_45.

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Md. Taha, Aina Qistina, and Haidi Ibrahim. "Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9539-0_4.

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Al-Khaffaf, Hasan S. M., Abdullah Zawawi Talib, and Rosalina Abdul. "Salt and Pepper Noise Removal from Document Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05036-7_57.

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Kam, H. S., and W. H. Tan. "Noise Detection Fuzzy (NDF) Filter for Removing Salt and Pepper Noise." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05036-7_45.

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Halder, Amiya, Sayan Halder, and Samrat Chakraborty. "A Novel Iterative Salt-and-Pepper Noise Removal Algorithm." In Advances in Intelligent Systems and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2695-6_54.

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Li, Gang, and Binheng Song. "Image Salt-Pepper Noise Elimination by Detecting Edges and Isolated Noise Points." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30125-7_22.

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Enginoğlu, Serdar, Uğur Erkan, and Samet Memiş. "Exponentially Weighted Mean Filter for Salt-and-Pepper Noise Removal." In Artificial Intelligence in Data and Big Data Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1_34.

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Nanda, Vatsal, Prateek Jeet Singh Sohi, Bharat Garg, and Prashant Singh Rana. "Salt-and-Pepper Noise Removal Techniques for Medical Image Reconstruction." In Applied Intelligence for Medical Image Analysis. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003461852-2.

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Bar, Leah, Nir Sochen, and Nahum Kiryati. "Image Deblurring in the Presence of Salt-and-Pepper Noise." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11408031_10.

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Nie, Rencan, Shaowen Yao, Dongming Zhou, and Xiang Li. "A Salt and Pepper Noise Image Filtering Method Using PCNN." In Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37502-6_120.

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Conference papers on the topic "Salt and pepper noise reduction"

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Krishnaveni, S., G. Srikanth, Manikala Lakshman, and Ch Kalpana. "Median Filter for Sophisticated Decision based Noise Reduction of Salt and Pepper in Color Images." In 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). IEEE, 2024. https://doi.org/10.1109/icscai61790.2024.10866794.

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Kari, Tusongjiang, Ziwei Zhang, Yufeng He, Dejin Wang, Jing Jia, and Xiaojing Ma. "Salt-Pepper Noise Removal Approach Based on ANN and Directional Mean Filtering Algorithm." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10957794.

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Kexin, Peng, Tuo Xianguo, Cai Biao, and Wang Yuling. "An Algorithm of Reduction Salt-Pepper Noise in TGS Images." In 2012 International Conference on Computer Science and Electronics Engineering (ICCSEE). IEEE, 2012. http://dx.doi.org/10.1109/iccsee.2012.15.

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Palabas, Tugba, and Ali Gangal. "Salt and pepper noise reduction in images using adaptive fuzzy filter." In 2012 20th Signal Processing and Communications Applications Conference (SIU). IEEE, 2012. http://dx.doi.org/10.1109/siu.2012.6204786.

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Zhang, Xiang-Song, Wei-Xin Gao, and Shi-Ling Zhu. "Research on Noise Reduction and Enhancement of Weld Image." In 9th International Conference on Signal, Image Processing and Pattern Recognition (SPPR 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101902.

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In order to eliminate the salt pepper and Gaussian mixed noise in X-ray weld image, the extreme value characteristics of salt and pepper noise are used to separate the mixed noise, and the non local mean filtering algorithm is used to denoise it. Because the smoothness of the exponential weighted kernel function is too large, it is easy to cause the image details fuzzy, so the cosine coefficient based on the function is adopted. An improved non local mean image denoising algorithm is designed by using weighted Gaussian kernel function. The experimental results show that the new algorithm reduc
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Nallaperumal, Krishnan, Justin Varghese, S. Saudia, K. Krishnaveni, Santhosh P. Mathew, and P. Kumar. "An efficient Switching Median Filter for Salt & Pepper Impulse Noise Reduction." In 2006 1st International Conference on Digital Information Management. IEEE, 2007. http://dx.doi.org/10.1109/icdim.2007.369347.

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Priestley, J. Jezebel, T. Anusuya, R. Pratheepa, and V. Elamaran. "Salt and pepper noise reduction with a novel approach of noise models using median filter." In 2014 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2014. http://dx.doi.org/10.1109/iccic.2014.7238553.

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Nallaperumal, Krishnan, Justin Varghese, S. Saudia, Santhosh Mathew, K. Krishnaveni, and S. Annam. "Adaptive Rank-ordered Switching Median Filter for Salt&Pepper Impulse Noise Reduction." In 2006 Annual IEEE India Conference. IEEE, 2006. http://dx.doi.org/10.1109/indcon.2006.302825.

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Bhadouria, Vivek Singh, and Dibyendu Ghoshal. "Decision based salt-and-pepper noise reduction using adaptive weighted Bézier approximation." In 2013 IEEE Second International Conference on Image Information Processing (ICIIP). IEEE, 2013. http://dx.doi.org/10.1109/iciip.2013.6707595.

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Zhan Shi and Jinglu Hu. "An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction." In 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716310.

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