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

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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2

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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5

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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8

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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Toh, K. K. V., and N. A. M. Isa. "Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction." IEEE Signal Processing Letters 17, no. 3 (2010): 281–84. http://dx.doi.org/10.1109/lsp.2009.2038769.

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Ali, Ikhwan, and Rahim Robbi. "Implementation of Modified Median Filtering Algorithm for Salt & Pepper Noise Reduction on Imag e." International Journal Of Science & Technoledge 4, no. 11 (2016): 75–79. https://doi.org/10.5281/zenodo.239083.

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Noise is one form of issue in the image, salt & pepper noise is the kind of noise that can be made using a special technique or also due to the conversion from analog signals to digital, the noise can be improved by using algorithms such as the mean filtering, the mid-point filtering and median filtering, median filtering algorithm is widely used for repair image quality, this article will discuss the modification of the median filtering to improve noise in the image by taking the average of neighboring pixels by 2 points from the value of the center clockwise, the value is taken to be pro

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Zhang, Xiang-Song, Wei-Xin Gao, and Shi-Ling Zhu. "Research on Noise Reduction and Enhancement Algorithm of Girth Weld Image." Signal & Image Processing : An International Journal 12, no. 1 (2021): 9–21. http://dx.doi.org/10.5121/sipij.2021.12102.

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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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Nasar, Iqbal. "Reduction of Noise from Fingerprint Images using Stationary Wavelet Trasnform." International Journal of Engineering Works (ISSN: 2409-277) 4, no. 12 (2017): 104–8. https://doi.org/10.5281/zenodo.1133286.

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In Automatic Fingerprint Identification Systems (AFIS) the quality of image is a very important factor as the minutiae extraction from fingerprint image heavily depends on image quality. To enhance the quality of fingerprint images a large number of denoising methods has been used. In this paper fingerprint image enhancement using stationary wavelet transform has been analyzed using different wavelets with different thresholds. Four different wavelets namely Haar DB4 (Daubechies), Coif2 (Coilflets) and Bior1.3 (Biorthogonal) were selected with four thresholds namely VisuShrink, NormalShrink, N

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Kwon, Se-Ik, and Nam-Ho Kim. "High Density Salt & Pepper Noise Reduction using Lagrange Interpolation and Iteration Process." Journal of the Korea Institute of Information and Communication Engineering 19, no. 4 (2015): 965–72. http://dx.doi.org/10.6109/jkiice.2015.19.4.965.

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Limbong, Hanspran, Lailan Sofinah Harahap, and Rafli Arya Gading. "Comparison of Median Filter and Gaussian Filter Performance in Removing Salt and Pepper Noise." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 1849–54. https://doi.org/10.59934/jaiea.v4i3.1033.

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Image processing plays a critical role in various applications, from medical diagnostics to surveillance systems. However, one of the major challenges in digital image processing is the presence of noise, particularly salt and pepper noise, which significantly degrades image quality. This study aims to compare the effectiveness of two popular filtering techniques—Median Filter and Gaussian Filter—in removing salt and pepper noise from digital images. The evaluation is conducted both quantitatively, using Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE) metrics, and qualitatively,

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Nurgul, Uzakkyzy, Ismailova Aisulu, Ayazbaev Talgatbek, et al. "Image noise reduction by deep learning methods." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6855–61. https://doi.org/10.11591/ijece.v13i6.pp6855-6861.

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Image noise reduction is an important task in the field of computer vision and image processing. Traditional noise filtering methods may be limited by their ability to preserve image details. The purpose of this work is to study and apply deep learning methods to reduce noise in images. The main tasks of noise reduction in images are the removal of Gaussian noise, salt and pepper noise, noise of lines and stripes, noise caused by compression, and noise caused by equipment defects. In this paper, such noises as the removal of raindrops, dust, and traces of snow on the images were considered. In

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Ivković, Ratko M., Ivana M. Milošević, and Zoran N. Milivojević. "Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction." Sensors 25, no. 1 (2025): 210. https://doi.org/10.3390/s25010210.

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This paper presents a Regeneration filter for reducing near Salt-and-Pepper (nS&P) noise in images, designed for selective noise removal while simultaneously preserving structural details. Unlike conventional methods, the proposed filter eliminates the need for median or other filters, focusing exclusively on restoring noise-affected pixels through localized contextual analysis in the immediate surroundings. Our approach employs an iterative processing method, where additional iterations do not degrade the image quality achieved after the first filtration, even with high noise densities up

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Uzakkyzy, Nurgul, Aisulu Ismailova, Talgatbek Ayazbaev, et al. "Image noise reduction by deep learning methods." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6855. http://dx.doi.org/10.11591/ijece.v13i6.pp6855-6861.

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<span lang="EN-US">Image noise reduction is an important task in the field of computer vision and image processing. Traditional noise filtering methods may be limited by their ability to preserve image details. The purpose of this work is to study and apply deep learning methods to reduce noise in images. The main tasks of noise reduction in images are the removal of Gaussian noise, salt and pepper noise, noise of lines and stripes, noise caused by compression, and noise caused by equipment defects. In this paper, such noises as the removal of raindrops, dust, and traces of snow on the i

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Riawan Syahrul Haz, Habban, Achmad Abdurrazzaq, Ahmad Kadri Bin Junoh, and Muhamad Syazali. "Implementation of interpolation method in reconstructing damaged satellite image caused by impulse noise." Al-Jabar : Jurnal Pendidikan Matematika 14, no. 2 (2023): 341. http://dx.doi.org/10.24042/ajpm.v14i2.14069.

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Background: Images are extensively utilized in fields such as engineering, health, and defense. During transmission, these images often lose quality due to noise interference.Aim: The primary objective of this study is to develop a method to effectively reduce salt and pepper noise, a common issue in image transmission, and restore images to their original state.Method: To achieve this, we propose using a numerical approach based on the interpolation method, specifically designed to address the noise reduction challenge.Result: Experimental application of the interpolation method on various im

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Mukhin, Vadym, and Andrii Lynovskyi. "MODIFIED MODEL OF IMAGE NOISE FILTRATION BASED ON CONVOLUTIONAL NEURAL NETWORK." Cybersecurity: Education, Science, Technique 4, no. 24 (2024): 388–97. https://doi.org/10.28925/2663-4023.2024.24.388397.

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In recent times, there has been significant progress in the application of deep learning, particularly using convolutional neural networks (CNNs), to address image denoising tasks, driven by their exceptional performance in image processing. However, it is noteworthy that CNNs are predominantly used for dealing with Gaussian noise, and there is currently limited work on effectively reducing salt-and-pepper (SAP) noise. One of the strategies to tackle the issue of noisy images is the development of efficient deep learning models specialized in handling SAP noise. This paper explores the potenti

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Nasri, Mehdi, Saeid Saryazdi, and Hossein Nezamabadi-pour. "A Fast Adaptive Salt and Pepper Noise Reduction Method in Images." Circuits, Systems, and Signal Processing 32, no. 4 (2013): 1839–57. http://dx.doi.org/10.1007/s00034-012-9546-3.

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Gómez-Moreno, Hilario, Pedro Gil-Jiménez, Sergio Lafuente-Arroyo, Roberto López-Sastre, and Saturnino Maldonado-Bascón. "A “Salt and Pepper” Noise Reduction Scheme for Digital Images Based on Support Vector Machines Classification and Regression." Scientific World Journal 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/826405.

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We present a new impulse noise removal technique based on Support Vector Machines (SVM). Both classification and regression were used to reduce the “salt and pepper” noise found in digital images. Classification enables identification of noisy pixels, while regression provides a means to determine reconstruction values. The training vectors necessary for the SVM were generated synthetically in order to maintain control over quality and complexity. A modified median filter based on a previous noise detection stage and a regression-based filter are presented and compared to other well-known stat

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Sonali, Malviya, and Anshuj Jain Prof. "Analysis PSNR of High Density Salt and Pepper Impulse Noise Using Median Filter." International Journal of Trend in Scientific Research and Development 3, no. 1 (2018): 866–70. https://doi.org/10.31142/ijtsrd19086.

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In this paper a new method for the enhancement of gray scale images is introduced, when images are corrupted by fixed valued impulse noise salt and pepper noise . The proposed methodology ensures a better output for low and medium density of fixed value impulse noise as compare to the other famous filters like Standard Median Filter SMF , Decision Based Median Filter DBMF and Modified Decision Based Median Filter MDBMF etc. The main objective of the proposed method was to improve peak signal to noise ratio PSNR , visual perception and reduction in blurring of image. The proposed algorithm repl

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Ekbal, Hussain Ali, Hameed Reja Ahmed, and H. Abood Layla. "Design hybrid filter technique for mixed noise reduction from synthetic aperture radar imagery." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1325~1331. https://doi.org/10.11591/eei.v11i3.3708.

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For military and civilian applications, synthetic aperture radar (SAR) imaging is an essential instrument for obtaining images of the Earth's surface. Speckle noise, a form of noise that is multiplicative, generated by conflicting echoes returned from each pixel, has a significant impact on the SAR picture. On SAR pictures, a hybrid filter for mixed noise reduction is used to remove the mixed noises that are present in the data during capture and transmission. Specifically, speckle noise and salt and pepper noises from SAR images. Both are being worked on at the same time to minimize mixed

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Toh, Kenny, Haidi Ibrahim, and Muhammad Mahyuddin. "Salt-and-pepper noise detection and reduction using fuzzy switching median filter." IEEE Transactions on Consumer Electronics 54, no. 4 (2008): 1956–61. http://dx.doi.org/10.1109/tce.2008.4711258.

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Ali, Ekbal Hussain, Ahmed Hameed Reja, and Layla H. Abood. "Design hybrid filter technique for mixed noise reduction from synthetic aperture radar imagery." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1325–31. http://dx.doi.org/10.11591/eei.v11i3.3708.

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For military and civilian applications, synthetic aperture radar (SAR) imaging is an essential instrument for obtaining images of the Earth's surface. Speckle noise, a form of noise that is multiplicative, generated by conflicting echoes returned from each pixel, has a significant impact on the SAR picture. On SAR pictures, a hybrid filter for mixed noise reduction is used to remove the mixed noises that are present in the data during capture and transmission. Specifically, speckle noise and salt and pepper noises from SAR images. Both are being worked on at the same time to minimize mixed noi

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Mohan, Ramya, S. P. Chokkalingam, Kirupa Ganapathy, and A. Rama. "Comparative Image Quality Analysis of Spatial Filters for Pre-processing of CT Abdominal Images." Webology 18, Special Issue 04 (2021): 1449–69. http://dx.doi.org/10.14704/web/v18si04/web18283.

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Aim: To determine the efficient noise reduction filter for abdominal CT images. Background: Image enrichment is the first and foremost step that has to be done in all image processing applications. It is used to enhance the quality of digital images. Digital images are liable to addition of noise from various sources such as error in instrument calibration, excess staining of images, etc., Image de-noising is an enhancement technique used to remove / reduce noise present in an image. Reducing the noise of images and preserving its edges are always critical and challenging in image processing.

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Chauhan, Vimal. "Reduction of Noise in Restoration of Images Using Mean and Median Filtering Techniques." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 301–13. http://dx.doi.org/10.22214/ijraset.2021.37965.

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Abstract: The purpose of this paper is to present a study of digital technology approaches to image restoration. This process of image restoration is crucial in many areas such as satellite imaging, astronomical image & medical imaging where degraded images need to be repaired Personal images captured by various digital cameras can easily be manipulated by a variety of dedicated image processing algorithms [2]. Image restoration can be described as an important part of image processing technique. Image restoration has proved to be an active field of research in the present days. The basic

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Aessa, Suad Ali, Ekbal Hussain Ali, Salam Waley Shneen, and Layla H. Abood. "Adaptive Fuzzy Filter Technique for Mixed Noise Removing from Sonar Images Underwater." Journal of Fuzzy Systems and Control 2, no. 2 (2024): 45–49. https://doi.org/10.59247/jfsc.v2i2.176.

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Underwater Analysis of acquired images may be affected by low contrast, haze, and other disturbances., caused by scattering and absorption of the light through propagation. An adaptive fuzzy filter for three mixed noise reduction is adopted on underwater sonar images to take out the various noises that either appear in the image when captured or injected into the image when transmitted. Underwater images when captured usually have speckle noise, salt, pepper noise also Gaussian noise. Is suggested in this paper an adaptive fuzzy filter structure that combines the fuzzy filter, sigmoid sliding

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Zhou, Ying, Chao Ren, Shengguo Zhang, et al. "A Second-Order Method for Removing Mixed Noise from Remote Sensing Images." Sensors 23, no. 17 (2023): 7543. http://dx.doi.org/10.3390/s23177543.

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Remote sensing image denoising is of great significance for the subsequent use and research of images. Gaussian noise and salt-and-pepper noise are prevalent noises in images. Contemporary denoising algorithms often exhibit limitations when addressing such mixed noise scenarios, manifesting in suboptimal denoising outcomes and the potential blurring of image edges subsequent to the denoising process. To address the above problems, a second-order removal method for mixed noise in remote sensing images was proposed. In the first stage of the method, dilated convolution was introduced into the Dn

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Shama, Bekal Narayan, and Halkare Mahabaleshwara Savitha. "An approach for radiation dose reduction in computerized tomography." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 1169–79. https://doi.org/10.11591/ijece.v13i1.pp1169-1179.

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Minimization of radiation dose plays an important role in human wellbeing. Excess of radiation dose leads to cancer. Radiation greatly affects young children less than 10 years of age as their life span is longer. Radiation can be reduced by hardware and/or by software techniques. Hardware methods deal with variation of parameters such as tube voltage, tube current, exposure time, focal distance and filter type. Software techniques include image processing methods. The originally acquired X-ray images may be contaminated with noise due to the fact of instability in the case of sensors, electri

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Soewondo, W., S. O. Haji, M. Eftekharian, et al. "Noise reduction and mammography image segmentation optimization with novel QIMFT-SSA method." Computer Optics 46, no. 2 (2022): 298–307. http://dx.doi.org/10.18287/2412-6179-co-808.

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Breast cancer is one of the most dreaded diseases that affects women worldwide and has led to many deaths. Early detection of breast masses prolongs life expectancy in women and hence the development of an automated system for breast masses supports radiologists for accurate diagnosis. In fact, providing an optimal approach with the highest speed and more accuracy is an approach provided by computer-aided design techniques to determine the exact area of breast tumors to use a decision support management system as an assistant to physicians. This study proposes an optimal approach to noise redu

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Shi, Keni. "Comparison of Image Enhancement Algorithms Based on Denoising and Edge Detection." Applied and Computational Engineering 133, no. 1 (2025): 174–84. https://doi.org/10.54254/2755-2721/2025.20700.

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Image enhancement technology is crucial in many fields, including noise reduction and edge enhancement. This paper compares median filtering and Gaussian filtering for image denoising by practicing. Median filtering removes salt-and-pepper noise well and preserves edges, suitable for discrete noise and detail-critical scenarios like remote sensing and medical imaging. Gaussian filtering smoothes Gaussian and random noise but blurs edges, applicable for background noise reduction. For edge enhancement, Sobel and Laplace operators are contrasted. Sobel operator highlights directional edges, usef

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Shi, Ya Juan, and Feng Tao Li. "Method of Paper's Disease Denoising Base on Adaptive with Threshold Wavelet Transform." Applied Mechanics and Materials 731 (January 2015): 214–17. http://dx.doi.org/10.4028/www.scientific.net/amm.731.214.

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This paper proposed an improved method based on adaptive with threshold wavelet transform denoising, according to image is often affected by noise pollution in the process of acquisition and transmission, compared with the advantages and disadvantages of traditional digital filtering method. It extracts the structure information and details of the image. It can adaptively select wavelet transform of optimal decomposition level and soft threshold to achieve the optimal noise reduction effect. The Simulation results demonstrate that this theory can effectively filter Gaussian noise and Salt and

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Kaur, Mrs Mandeep. "Improving MRI Image Clarity and Noise Reduction for Enhanced Brain Tumour Detection." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 828–32. https://doi.org/10.22214/ijraset.2025.66957.

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Brain diseases are serious conditions that must not be ignored, as brain failure can pose a significant threat to overall health. Early detection and intervention are critical in managing various brain-related disorders. One of the primary diagnostic methods for detecting brain tumors and other neurological issues is MRI imaging. MRI is a preferred technique due to its efficiency, real-time imaging capabilities, and lack of radiation. However, challenges such as speckle noise, Gaussian noise, and other artifacts continue to compromise the quality of MRI images. As a result, enhancing image qua

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Narayan, Shama Bekal, and Savitha Halkare Mahabaleshwara. "An approach for radiation dose reduction in computerized tomography." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 1169. http://dx.doi.org/10.11591/ijece.v13i1.pp1169-1179.

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<span lang="EN-US">Minimization of radiation dose plays an important role in human wellbeing. Excess of radiation dose leads to cancer. Radiation greatly affects young children less than 10 years of age as their life span is longer. Radiation can be reduced by hardware and/or by software techniques. Hardware methods deal with variation of parameters such as tube voltage, tube current, exposure time, focal distance and filter type. Software techniques include image processing methods. The originally acquired X-ray images may be contaminated with noise due to the fact of instability in the

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Bao, Zhiguo, Fangfang Wang, Xiaoming Zhao, and Takahiro Watanabe. "Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm." IEEJ Transactions on Electronics, Information and Systems 131, no. 3 (2011): 584–91. http://dx.doi.org/10.1541/ieejeiss.131.584.

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Kaur, Gurjeet, and Dr Sukhwinder Singh. "Image Quality Enhancement and Noise Reduction in Kidney Ultrasound Images." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1204–9. http://dx.doi.org/10.22214/ijraset.2022.45490.

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Abstract: Kidney disease should not be ignored as kidney failure can endanger our lives. Hence, early detection and prevention are essential to prevent various kidney problems in patients. One of the most important medical diagnostic techniques for examining kidney stones and other kidney-related problems, is ultrasound imaging. Moreover, ultrasound imaging is efficient, radiation-free, cost-effective, and real-time. However, low contrast, speckle noise, gaussian noise, and other aberrations still limit access to ultrasonic scanning facilities. So, improved image quality is a major need for di

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Mares-Javier, Marisol, Carlos Guillén-Galván, Rafael Lemuz-López, and Johan Debayle. "On the Properties of Some Adaptive Morphological Filters for Salt and Pepper Noise Removal." Image Analysis & Stereology 40, no. 1 (2021): 29–38. http://dx.doi.org/10.5566/ias.2418.

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Mathematical Morphology (MM) is a tool that can be applied to many digital image processing tasks that include the reduction of impulsive or salt and pepper noise in grayscale images. The morphological filters used for this task are filters resulting from two basic operators: erosion and dilation. However, when the level of contamination of the image is higher, these filters tend to distort the image. In this work we propose a pair of operators with properties, that better adapt to impulsive noise than other classical morphological filters, it is demonstrated to be increasing idempotent morpho

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Qasim, Mohammed N., Tareq Abed Mohammed, and Oguz Bayat. "Breast Sentinel Lymph Node Cancer Detection from Mammographic Images Based on Quantum Wavelet Transform and an Atrous Pyramid Convolutional Neural Network." Scientific Programming 2022 (September 26, 2022): 1–13. http://dx.doi.org/10.1155/2022/1887613.

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This study proposes an optimal approach to reduce noise in mammographic images and to identify salt-and-pepper, Gaussian, Poisson, and impact noises to determine the exact mass detection operation after these noise reductions. It therefore offers a method for noise reduction operations called quantum wavelet transform filtering and a method for precision mass segmentation called the image morphological operations in mammographic images based on the classification with an atrous pyramid convolutional neural network (APCNN) as a deep learning model. The hybrid approach called a QWT-APCNN is eval

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Rasheed, Ahmmad, Essa Ibrahim Essa, and Borhan F. Jumaa. "New hybrid Filtering Methods to remove noise from Digital Images." Journal of Advanced Sciences and Nanotechnology 1, no. 4 (2022): 88–101. http://dx.doi.org/10.55945/joasnt.2022.1.4.88-101.

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Using hybrid digital filtering techniques to reduce the amount of time a patient is exposed to radiation. If the patient is exposed to radiation for an extended length of time, his life will be jeopardized. Noise reduction in the photos is necessary when asked to lower the high radiation dosage and time it takes, which hides some of the right information from the physician and makes it difficult for him to appropriately analyze it. As a consequence, pre-processing has become the most significant item in digital image processors, and in this research, we offer a novel hybrid technology approach

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A, Ashpreet, and Mantosh Biswas. "A COMPARATIVE STUDY OF MEDIAN BASED IMPULSE NOISE REDUCTION METHODS FOR COLOR IMAGES." ICTACT Journal on Image and Video Processing 12, no. 1 (2021): 2541–54. http://dx.doi.org/10.21917/ijivp.2021.0361.

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With the explosion in the number of digital images taken every day, there is a growing demand for more precise and visually appealing images. Images captured by modern cameras, on the other hand, are eventually ruined by noise, which contributes to a reduction in visual image quality. Impulse noise is one of noise as white and black dispersed pixels that can be found in both gray and color images. The impulse noise model is comprised of Salt and Pepper (SAP) noise and random valued impulse noise (RVIN). So far, a lot of impulse denoising methods have been developed for the images (both gray an

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Garamanli, Khadija I., Mostafa B. Abuitbel, and Musbah M. Alahrash. "Simulation of Filtering Schemes Applied for Images Enhancement." University of Zawia Journal of Engineering Sciences and Technology 1, no. 1 (2024): 123–29. http://dx.doi.org/10.26629/uzjest.2023.11.

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In signal processing, filters generally play a pivotal role to remove unwanted parts of the signal, such as random noise, or to extract useful parts of the signal, such as the components lying within a certain frequency range to enhance the performance and denoising scenario. This paper presents the implementation of linear and non-linear filtering schemes for noise reduction and images enhancement. This is achieved by performing convolution of a grayscale image with a mask filter of multiple sizes using MATLAB software. The average and median filters are implemented on the same image of an in

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Yildirim, Melih. "Analog circuit implementation based on median filter for salt and pepper noise reduction in image." Analog Integrated Circuits and Signal Processing 107, no. 1 (2021): 195–202. http://dx.doi.org/10.1007/s10470-021-01820-3.

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Dermawan, Andre, Tommy Tommy, and Divi Handoko. "Penerapan Bilateral Filtering untuk Peningkatan Kualitas Citra Digital Fokus pada Gaussian, Salt-and-Pepper, dan Speckle Noise." Algoritma: Jurnal Ilmu Komputer dan Informatika 8, no. 2 (2024): 98. https://doi.org/10.30829/algoritma.v8i2.22130.

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<p><em>The main objective of this research is to improve the quality of digital images without losing important details, such as object edges, while also developing efficient and user- friendly software for image processing. Bilateral filtering is a non-linear filtering method used to reduce noise in images while preserving edge details. This filter works by combining smoothing based on spatial proximity and pixel intensity similarity. Thus, bilateral filtering is effective in reducing noise without blurring the important edges of the image. This research develops an application th

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Basim, A. Hassan, N. Jabbar Hawraz, Abdul Rahman Moghrabi Issam, and Joma Alissa Ali. "An enhanced fletcher-reeves-like conjugate gradient methods for image restoration." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6268–76. https://doi.org/10.11591/ijece.v13i6.pp6268-6276.

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Noise is an unavoidable aspect of modern camera technology, causing a decline in the overall visual quality of the images. Efforts are underway to diminish noise without compromising essential image features like edges, corners, and other intricate structures. Numerous techniques have already been suggested by many researchers for noise reduction, each with its unique set of benefits and drawbacks. Denoising images is a basic challenge in image processing. We describe a two-phase approach for removing impulse noise in this study. The adaptive median filter (AMF) for salt-and-pepper noise ident

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Kannan, A. Rajesh, P. Manivannan, K. Loganathan, K. Prabu, and Sonam Gyeltshen. "Assignment Computations Based on C exp Average in Various Ladder Graphs." Journal of Mathematics 2022 (May 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/2635564.

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This study introduces the C exp average assignments and investigates its properties using various ladder graphs. The ladder graphs can be found in every communication networks. Ladder networks are increasingly being used in everyday life for monitoring and environmental applications such as domestic, military, surveillance, industrial, medical applications, and traffic management. These datasets are afflicted by the average representation of the graph structure. It aids in the visualisation and comprehension of data analysis. The C exp labeling is used in sensor networks, adhoc networks, and o

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Masa, Amin Padmo Azam, Muhamad Mushfa Hikmatal Fajri, Anindita Septiarini, and Edy Winarno. "Comparison of Noise Using Reduction Method for Repairing Digital Image." JOIV : International Journal on Informatics Visualization 8, no. 4 (2024): 2189. https://doi.org/10.62527/joiv.8.4.2032.

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Digital images are used to become a visual bridge of information. The information data must be precise so that the information can be adequately conveyed, but in the process, digital images sometimes experience a change in quality. One of the causes of this change is noise, where the image affected by noise is of poor quality, so misinformation can occur. This problem can be solved using filtering methods, but there are so many filtering methods. In this study, five filtering methods were used, including the Gaussian filter, mean filter, median filter, wiener filter, and conservative filter, t

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Farhan, Ahmed, Rezwan us Saleheen, Chen Li Wei, and Farhan Mahbub. "De-noising of an Image using Fuzzy Inference System and Performance Comparison with the Conventional system." Journal of Engineering Advancements 2, no. 03 (2021): 164–68. http://dx.doi.org/10.38032/jea.2021.03.007.

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Noise prevailing in the image can diminish the physical appearance of the objects existing within the image and make them frail. Present research emphasizes a fuzzy inference system eradicating several types of noise from the images. The investigation implies the utilization of different levels of Salt & Pepper noise. Followed by the pixel determination applying a mask, the disparity between the focused pixel's intensity with the minimum, average, and maximum power of the chosen window has been determined. Since two fuzzy valued outputs have been obtained to match them, the one provided by

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