Log in

Relevant bibliographies by topics / And Salt and Pepper Noise / Journal articles

To see the other types of publications on this topic, follow the link: And Salt and Pepper Noise.

Journal articles on the topic 'And Salt and Pepper Noise'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'And Salt and Pepper Noise.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

2

Qin, Feng Qing, Li Hong Zhu, Li Lan Cao, and Wa Nan Yang. "Single-Image Super Resolution Reconstruction with Pepper and Salt Noise." Applied Mechanics and Materials 427-429 (September 2013): 1817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1817.

Full text

Abstract:

In order to improve the resolution of single image with Pepper and Salt noise, a framework is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper and Salt noise are considered. For the low resolution image, the Pepper and Salt noise is reduced through median filtering method. Super resolution reconstruction is performed on the de-noised low resolution image by iterative back projection algorithm. Experimental results show that the Pepper and Salt noise are removed effectively and the peak signal to noise ratio (PSNR) of the super resolution recons

APA, Harvard, Vancouver, ISO, and other styles

3

Azzeh, Jamil, Bilal Zahran, and Ziad Alqadi. "Salt and Pepper Noise: Effects and Removal." JOIV : International Journal on Informatics Visualization 2, no. 4 (2018): 252. http://dx.doi.org/10.30630/joiv.2.4.151.

Full text

Abstract:

Noises degrade image quality which causes information losing and unsatisfying visual effects. Salt and Pepper noise is one of the most popular noises that affect image quality. In RGB color image Salt and pepper noise changes the number of occurrences of colors combination depending on the noise ratio. Many methods have been proposed to eliminate Salt and Pepper noise from color image with minimum loss of information. In this paper we will investigate the effects of adding salt and pepper noise to RGB color image, the experimental noise ratio will be calculated and the color combination with m

APA, Harvard, Vancouver, ISO, and other styles

4

Muthmainnah. "Optimized the Performance of Super Resolution Images by Salt and pepper Noise Removal based on a Modified Trimmed Median Filter." Wasit Journal of Computer and Mathematics Science 2, no. 3 (2023): 107–15. http://dx.doi.org/10.31185/wjcms.191.

Full text

Abstract:

Image processing is an interesting area where noisy images can be restored from salt and pepper noise. Various filtering algorithms can be used in the restoration process. Pixels in the original image should not be affected by the restoration process. Despite changes in dimensions and image format, the problem of the existing work persists. A hybrid technique used Ant colony Optimization to remove high-density salt and pepper noise from images. This hybrid technique would remove salt and pepper noise in corrupted images. Ant Colony Optimization (ACO) identifies and selects noisy pixels from co

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

6

Konyar, Mehmet Zeki, and Sıtkı Öztürk. "Reed Solomon Coding-Based Medical Image Data Hiding Method against Salt and Pepper Noise." Symmetry 12, no. 6 (2020): 899. http://dx.doi.org/10.3390/sym12060899.

Full text

Abstract:

Medical data hiding is used to hide patient information inside medical images to protect patient privacy. Patient information in the image should be protected when sending medical images to other specialists or hospitals over the communication network. However, the images are exposed to various unwanted disruptive signals in the communication channel. One of these signals is salt and pepper noise. A pixel exposed to salt and pepper noise becomes completely black or completely white. In pixel-based data hiding methods, it is not possible to extract the secret message in the pixel exposed to thi

APA, Harvard, Vancouver, ISO, and other styles

7

Kwon, Se-Ik, and Nam-Ho Kim. "Salt and Pepper Noise Removal using Histogram." Journal of the Korea Institute of Information and Communication Engineering 20, no. 2 (2016): 394–400. http://dx.doi.org/10.6109/jkiice.2016.20.2.394.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Yu, Jingning. "Based on Gaussian filter to improve the effect of the images in Gaussian noise and pepper noise." Journal of Physics: Conference Series 2580, no. 1 (2023): 012062. http://dx.doi.org/10.1088/1742-6596/2580/1/012062.

Full text

Abstract:

Abstract Gaussian filter is one of the important research topics. Researchers find that Gaussian filter can suppress noise, but there is still a gap in the completeness of Gaussian filter for denoising. Therefore, the author optimized the Gaussian filter to achieve better filtering effect. By collecting SNR and PSNR data and comparing and analysing different noise types of the data under the same condition, the author explored the denoising effect of Gaussian filter method on Gaussian noise and Salt and pepper noise, and improved the Gaussian filter method. According to the comparison of SNR a

APA, Harvard, Vancouver, ISO, and other styles

9

Nisha, Bernad, and M. Victor Jose. "DTMF: Decision Based Trimmed Multimode Approach Filter for Denoising MRI Images." IT Journal Research and Development 7, no. 2 (2023): 152–72. http://dx.doi.org/10.25299/itjrd.2023.9463.

Full text

Abstract:

The brain MRI image denoising is a challenging and attracting field for young researchers because it enhances the quality of medical images. Salt and pepper noise is the most dangerous noise which reduces the accuracy of brain diagnosis, and it damages the brain medical images severely, that leads to neurologists to fix incorrect treatments or surgery. The pitfalls raised in the existing denoising methods are less Peak signal to noise ratio, high time consumption and incapable for enormous level of noise range. Hence, this research proposes a novel denoising filter which is entitled as ‘Decisi

APA, Harvard, Vancouver, ISO, and other styles

10

Jain, Anshika, and Maya Ingle. "PERFORMANCE ANALYSIS OF NOISE REMOVAL TECHNIQUES FOR FACIAL IMAGES- A COMPARATIVE STUDY." BSSS journal of computer 12, no. 1 (2021): 1–10. http://dx.doi.org/10.51767/jc1201.

Full text

Abstract:

Image de-noising has been a challenging issue in the field of digital image processing. It involves the manipulation of image data to produce a visually high quality image. While maintaining the desired information in the quality of an image, elimination of noise is an essential task. Various domain applications such as medical science, forensic science, text extraction, optical character recognition, face recognition, face detection etc. deal with noise removal techniques. There exist a variety of noises that may corrupt the images in different ways. Here, we explore filtering techniques viz.

APA, Harvard, Vancouver, ISO, and other styles

11

Sudha, T., and P. Nagendra Kumar. "Performance Analysis of Median Filter With Respect to Different Padding Methods in the Context of Removing Salt and Pepper Noise." Asian Journal of Computer Science and Technology 8, no. 3 (2019): 6–9. http://dx.doi.org/10.51983/ajcst-2019.8.3.2732.

Full text

Abstract:

Image Processing is one of the major areas of research. Images are often corrupted with different types of noise such as Gaussian noise, Poisson noise, Salt and Pepper noise, Speckle noise etc.The present work analyses the performance of the median filter with respect to different padding methods in the context of removing salt and pepper noise.Peak Signal-to-Noise ratio and Mean Squared Error have been considered as parameters for performance evaluation. The results obtained show thatthe Peak Signal-to-Noise Ratio and Mean Squared Error obtained between the original image and the filtered ima

APA, Harvard, Vancouver, ISO, and other styles

12

Chen, Fengyu, Minghui Huang, Zhuxi Ma, Yibo Li, and Qianbin Huang. "An Iterative Weighted-Mean Filter for Removal of High-Density Salt-and-Pepper Noise." Symmetry 12, no. 12 (2020): 1990. http://dx.doi.org/10.3390/sym12121990.

Full text

Abstract:

Salt-and-pepper noise, which is often introduced by sharp and sudden disturbances in the image signal, greatly reduces the quality of images. Great progress has been made for the salt-and-pepper noise removal; however, the problem of image blur and distortion still exists, and the efficiency of denoising requires improvement. This paper proposes an iterative weighted-mean filter (IWMF) algorithm in detecting and removing high-density salt-and-pepper noise. Three steps are required to implement this algorithm: First, the noise value and distribution characteristics were used to identify the noi

APA, Harvard, Vancouver, ISO, and other styles

13

Purwanti Ningrum, Ika, Agfianto Eko Putra, and Dian Nursantika. "Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 5, no. 3 (2011): 29. http://dx.doi.org/10.22146/ijccs.5209.

Full text

Abstract:

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how we

APA, Harvard, Vancouver, ISO, and other styles

14

Wang, Xiong Liang, and Chun Ling Wang. "Salt-and-Pepper Noise Removal Based on Image Patch Reordering." Applied Mechanics and Materials 701-702 (December 2014): 352–56. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.352.

Full text

Abstract:

A new method based on image patch reordering for removing salt-and-pepper noise from corrupted images is presented. Firstly, the problem of salt-and-pepper noise removal can be turned into the problem of image in-painting. Then, we can use the image patch reordering method to recover the missing pixels and fulfill the salt-and-pepper noise removal. Experimental results demonstrate that the proposed method obtain much better performance in terms of both qualitative and quantitative assessment. Especially, the proposed method provides the improvement in the performance of noise suppression and d

APA, Harvard, Vancouver, ISO, and other styles

15

Kumar, Nalin, and M. Nachamai. "Noise Removal and Filtering Techniques used in Medical Images." Oriental journal of computer science and technology 10, no. 1 (2017): 103–13. http://dx.doi.org/10.13005/ojcst/10.01.14.

Full text

Abstract:

Noise removal techniques have become an essential practice in medical imaging application for the study of anatomical structure and image processing of MRI medical images. To report these issues many de-noising algorithm has been developed like Weiner filter, Gaussian filter, median filter etc. In this research work is done with only three of the above filters which are already mentioned were successfully used in medical imaging. The most commonly affected noises in medical MRI image are Salt and Pepper, Speckle, Gaussian and Poisson noise. The medical images taken for comparison include MRI i

APA, Harvard, Vancouver, ISO, and other styles

16

Song, Yin Mao, and Xiao Juan Li. "Salt and Pepper Noise Removal Based on GA-BP Algorithm." Advanced Materials Research 301-303 (July 2011): 1243–48. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1243.

Full text

Abstract:

Noise detection-based median filters have been widely adopted to reduce salt and pepper noise in images. However, since noise pixel is not detected accurately, it is likely to blur the fringe of image under the high noise density. In this paper, we propose an algorithm of salt and pepper noise filter which is based on GA-BP algorithm noise detector to remove the salt and pepper noise in images. The algorithm firstly detect the location of noise pixels by using optimized GA-BP network,then,it introduce edge-preserving function and PRP algorithm to solve the objective function of extreme value f

APA, Harvard, Vancouver, ISO, and other styles

17

Ye, Xiao Ling, Yan Yan Dou, and Bo Liu. "Adaptive Switching Median Filter Based on GA-BP Neural Network." Advanced Materials Research 753-755 (August 2013): 2980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2980.

Full text

Abstract:

For the poor performance of conventional filtering algorithms in removing salt and pepper noise from digital images under high noise density,an adaptive switching median filter algorithm based on BP neural network optimized by genetic algorithm (GA) is proposed to detect and remove salt and pepper noise from images. Firstly,the initial weights and thresholds of BP neural network are optimized by genetic algorithm.Then image pixels are devided into either signal or noise points by the trained network automatically. The detected noise points will be removed by adaptive switching median filter al

APA, Harvard, Vancouver, ISO, and other styles

18

Chung, Young-Su, and Nam-Ho Kim. "High Density Salt and Pepper Noise Removal using Clustering." Journal of the Korea Institute of Information and Communication Engineering 27, no. 5 (2023): 635–42. http://dx.doi.org/10.6109/jkiice.2023.27.5.635.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Zaini, Hatim, and Ziad Alqadi. "Improving Average and Median Filters." International Journal of Computer Science and Mobile Computing 12, no. 2 (2023): 1–13. http://dx.doi.org/10.47760/ijcsmc.2023.v12i02.001.

Full text

Abstract:

Average and median filters are the most popular filters used to reduce the negative effects of salt and pepper noise affected gray and color images, these filters work good when the noise affected the image has a small noise ratio. Average and median filters has some disadvantages, which are negatively affect the quality of the denoised image, they treat all the pixels regardless the pixel is a clean pixel or a noisy pixel. In this paper research an improvements will be added to the two filters making them capable to handle salt and pepper noise with high noise ratios. The improvements will be

APA, Harvard, Vancouver, ISO, and other styles

20

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

21

Abu Zalata, Mohamad K., Hussein N. Hatamleh, and Ziad A. Alqadi. "Detailed Study of Low Density Salt and Pepper Noise Removal from Digital Color Images." International Journal of Computer Science and Mobile Computing 11, no. 2 (2022): 56–67. http://dx.doi.org/10.47760/ijcsmc.2022.v11i02.007.

Full text

Abstract:

Color digital images are greatly affected by salt and pepper noise, which negatively affects the clarity of the image and its characteristics. In this paper research we will investigate various filter used to deal with salt and pepper noise, a comparison will be done between these filters according to the calculated values of MSE and PSNR. An improvement procedure will be added to each filter to show how this improvement will enhance the values of MSE and PSNR and thus enhance the quality of the denoised image. Various noise densities will be experimented and it will be shown how median filter

APA, Harvard, Vancouver, ISO, and other styles

22

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

23

Halder, Amiya, Sayan Halder, Samrat Chakraborty, and Apurba Sarkar. "A Statistical Salt-and-Pepper Noise Removal Algorithm." International Journal of Image and Graphics 19, no. 01 (2019): 1950006. http://dx.doi.org/10.1142/s0219467819500062.

Full text

Abstract:

This paper proposes a novel approach to remove salt-and-pepper noise from a given noisy image. The proposed algorithm is based on statistical quantities such as mean and standard deviation. It determines the intensity to be placed on the impulse point by calculating the eligibility of the nearby points in a very simple way. This method works iteratively and removes all the impulse points restoring the edges and minute details. The proposed algorithm is very efficient and gives better results than various existing algorithms. The performance of the proposed method are compared with other existi

APA, Harvard, Vancouver, ISO, and other styles

24

Sathuluri, Ramarao, and Srinivas L. "An Advanced New Adaptive Alpha Trimmed Median Filter for Removel of Salt and Pepper Noises for Recovering the Image Protecting Edge Data." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 733–43. https://doi.org/10.31142/ijtsrd13026.

Full text

Abstract:

Here in this paper we discuss about an advanced new adaptive alpha trimmed median filter for removel of salt and pepper noises for recovering the image protecting edge data. In olden days we used anlage technology to capture the images which manes photo reals or negatives to capture the images, even though they have high resolution when compared when compared to the today digital images, we have to compromise the parameters like lighting, and some other noises. When compared to the disadvantages of the analogue technology digital technology is preferred. In the digital technology we can edit o

APA, Harvard, Vancouver, ISO, and other styles

25

Kwon, Se-Ik, and Nam-Ho Kim. "Salt and Pepper Noise Removal using Cubic Spline Interpolation." Journal of the Korea Institute of Information and Communication Engineering 20, no. 10 (2016): 1955–60. http://dx.doi.org/10.6109/jkiice.2016.20.10.1955.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Jung, Gyeong-Seog, and Nam-Ho Kim. "RANSAC Switching Filter for Salt and Pepper Noise Removal." Journal of the Korea Institute of Information and Communication Engineering 28, no. 2 (2024): 146–53. http://dx.doi.org/10.6109/jkiice.2024.28.2.146.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Mesuga, Reymond, Cloyd Raymond Pernes, Luther Villacruz, and Mark Anthony Burgonio. "INVESTIGATION ON THE EFFECTS OF RADIOGRAPHIC IMAGE QUALITY ATTRIBUTES ON THE PERFORMANCE OF CONVOLUTIONAL NEURAL NETWORKS (CNNS) IN DETECTING COVID-19." PUP Journal of Science and Technology 14, no. 1 (2024): 15–35. https://doi.org/10.70922/zt7bfe34.

Full text

Abstract:

Radiographic image quality is one of the factors that impacts professionals’ decisions when diagnosing lung diseases using X-ray images. Hence, poor radiographic image quality could result in a misleading diagnosis affecting the person being investigated. This is true in human vision, as well as the computer vision. This study investigated the effects of different radiographic image quality attributes (i.e., contrast, Gaussian blur, Gaussian noise, and salt-and-pepper noise) on the performance of various Convolutional Neural Networks (CNNs) models. We use COVID-19 x-ray data as an initiative t

APA, Harvard, Vancouver, ISO, and other styles

28

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

29

Ali, Suhad A., C. Elaf A. Abbood, and Shaymaa Abdu LKadhm. "Salt and Pepper Noise Removal Using Resizable Window and Gaussian Estimation Function." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (2016): 2219. http://dx.doi.org/10.11591/ijece.v6i5.11641.

Full text

Abstract:

<p class="Default">Most types of the images are corrupted in many ways that because exposed to different types of noises. The corruptions happen during transmission from space to another, during storing or capturing. Image processing has various techniques to process the image. Before process the image, there is need to remove noise that corrupt the image and enhance it to be as near as to the original image. This paper proposed a new method to process a particular common type of noise. This method removes salt and pepper noise by using many techniques. First, detect the noisy pixel, the

APA, Harvard, Vancouver, ISO, and other styles

30

Ali, Suhad A., C. Elaf A. Abbood, and Shaymaa Abdu LKadhm. "Salt and Pepper Noise Removal Using Resizable Window and Gaussian Estimation Function." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (2016): 2219. http://dx.doi.org/10.11591/ijece.v6i5.pp2219-2224.

Full text

Abstract:

<p class="Default">Most types of the images are corrupted in many ways that because exposed to different types of noises. The corruptions happen during transmission from space to another, during storing or capturing. Image processing has various techniques to process the image. Before process the image, there is need to remove noise that corrupt the image and enhance it to be as near as to the original image. This paper proposed a new method to process a particular common type of noise. This method removes salt and pepper noise by using many techniques. First, detect the noisy pixel, the

APA, Harvard, Vancouver, ISO, and other styles

31

Liu, Hongqing, Liming Hou, Zhen Luo, Yi Zhou, Xiaorong Jing, and Trieu-Kien Truong. "Image Recovery with Data Missing in the Presence of Salt-and-Pepper Noise." Applied Sciences 9, no. 7 (2019): 1426. http://dx.doi.org/10.3390/app9071426.

Full text

Abstract:

In this paper, an image recovery problem under the case of salt-and-pepper noise and data missing that degrade image quality is addressed if they are not effectively handled, where the salt-and-pepper noise as the impulsive noise is remodeled as a sparse signal due to its impulsiveness and the data missing pattern, denoted by a sparse vector, contains only zeros and ones to formulate the data missing. In particular, the salt-and-pepper noise and data missing are reformatted by their sparsity, respectively. The wavelet and framelet domains are explored to sparsely represent the image in order t

APA, Harvard, Vancouver, ISO, and other styles

32

Sahni, Supreet. "Removal of Image Blurring and Salt Pepper Noise Using Variation Models." International Journal of Scientific Engineering and Research 5, no. 10 (2017): 29–33. https://doi.org/10.70729/ijser171865.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

34

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

35

Vairaprakash, S., Jayakumar Karuppaiah, B. Buvaneswari, and Abdullah Alghamdi. "Removal of Salt and Pepper Noise Using Hybrid Adaptive Switching Median Filter with Ant Colony Optimization Technique in Nano Electronic Applications." Journal of Nanoelectronics and Optoelectronics 18, no. 1 (2023): 85–94. http://dx.doi.org/10.1166/jno.2023.3365.

Full text

Abstract:

Background: Restoration of noisy images from the salt and pepper noise is an interesting area in the field of image processing. The restoration process can be done using various filtering algorithms. The restoration process should not affect the pixels of the original image. The problem of the existing work persists as the increase in the error rate while the dimensions as well as the image format changes. The proposed work consists of Hybrid Adaptive Switching median filtering (HASMF). The hybrid technique corrupted images’ high-density salt and pepper noise removal using Ant colony Optimizat

APA, Harvard, Vancouver, ISO, and other styles

36

Singh, Abhishek, and Anil Kumar. "Introduction of Local Spatial Constraints and Local Similarity Estimation in Possibilistic c-Means Algorithm for Remotely Sensed Imagery." Journal of Modeling and Optimization 11, no. 1 (2019): 51–56. http://dx.doi.org/10.32732/jmo.2019.11.1.51.

Full text

Abstract:

This paper presents a unique Possibilistic c-Means with constraints (PCM-S) with Adaptive Possibilistic Local Information c-Means (ADPLICM) in a supervised way by incorporating local information through local spatial constraints and local similarity measures in Possibilistic c-Means Algorithm. PCM-S with ADPLICM overcome the limitations of the known Possibilistic c-Means (PCM) and Possibilistic c-Means with constraints (PCM-S) algorithms. The major contribution of proposed algorithm to ensure the noise resistance in the presence of random salt & pepper noise. The effectiveness of proposed

APA, Harvard, Vancouver, ISO, and other styles

37

C, Shankara, and A. Hariprasad S. "Noise Removal Techniques for Lung Cancer CT Images." Indian Journal of Science and Technology 15, no. 32 (2022): 1577–86. https://doi.org/10.17485/IJST/v15i32.798.

Full text

Abstract:

Abstract <strong>Objectives:</strong> To analyze various filtering methods to eliminate noises present in the lung CT images and to enhance the image, which help in further evaluation of CT images for accurate lung cancer detection. To compare the proposed method with existing filtering techniques and to find the best filtering technique. <strong>Methods:</strong> For input lung CT images noises like salt along with pepper noise and speckle noise are added. For noisy images different filtering methods like Median filter, Wiener filter, Gaussian filter and Guided filter are appli

APA, Harvard, Vancouver, ISO, and other styles

38

Lingamaiah Kurva, Naga, and S. Varadarajan. "Dual tree complex wavelet transform based image denoising for Kalpana satellite images." International Journal of Engineering & Technology 7, no. 3.29 (2018): 269. http://dx.doi.org/10.14419/ijet.v7i3.29.18810.

Full text

Abstract:

This paper presents a new algorithm to reduce the noise from Kalpana Satellite Images using Dual Tree Complex Wavelet Transform technique. Satellite Images are not simple photographs; they are pictorial representation of measured data. Interpretation of noisy raw data leads to wrong estimation of geophysical parameters such as precipitation, cloud information etc., hence there is a need to improve the raw data by reducing the noise for better analysis. The satellite images are normally affected by various noises. This paper mainly concentrates on reducing the Gaussian noise, Poisson noise and

APA, Harvard, Vancouver, ISO, and other styles

39

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

40

Hou, Ming Liang, Yu Ran Liu, and Qi Wang. "An Image Information Extraction Algorithm for Salt and Pepper Noise on Fractional Differentials." Advanced Materials Research 179-180 (January 2011): 1011–15. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.1011.

Full text

Abstract:

An image information extraction algorithm on fractional differentials is put forward in this paper that is based on the characteristics of fractional differential in signal processing. This paper has extracted the information of salt and pepper noise images with various coefficients, and analyzed and compared it with the information extraction results of classic integer-order operators as Prewitt, Roberts and Sobel. Experiments have shown that not only the high-frequency marginal information can be extracted by extracting information with fractional differentials, just as it is extracted with

APA, Harvard, Vancouver, ISO, and other styles

41

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

42

Zayed, M. Ramadan. "Optimum Image Filters for Various Types of Noise." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 5 (2018): 2458–64. https://doi.org/10.12928/TELKOMNIKA.v16i5.10508.

Full text

Abstract:

In this paper, the quality performance of several filters in restoration of images corrupted with various types of noise has been examined extensively. In particular, Wiener filter, Gaussian filter, median filter and averaging (mean) filter have been used to reduce Gaussian noise, speckle noise, salt and pepper noise and Poisson noise. Many images have been tested, two of which are shown in this paper. Several percentages of noise corrupting the images have been examined in the simulations. The size of the sliding window is the same in the four filters used, namely 5x5 for all the indicated no

APA, Harvard, Vancouver, ISO, and other styles

43

Kinge, Sanjaykumar, B. Sheela Rani, and Mukul Sutaone. "Restored texture segmentation using Markov random fields." Mathematical Biosciences and Engineering 20, no. 6 (2023): 10063–89. http://dx.doi.org/10.3934/mbe.2023442.

Full text

Abstract:

<abstract> <p>Texture segmentation plays a crucial role in the domain of image analysis and its recognition. Noise is inextricably linked to images, just like it is with every signal received by sensing, which has an impact on how well the segmentation process performs in general. Recent literature reveals that the research community has started recognizing the domain of noisy texture segmentation for its work towards solutions for the automated quality inspection of objects, decision support for biomedical images, facial expressions identification, retrieving image data from a hug

APA, Harvard, Vancouver, ISO, and other styles

44

Zhao, Feng, Rui Chuan Ma, and Jia Qing Ma. "An Algorithm for Salt and Pepper Noise Removal Based on Information Entropy." Applied Mechanics and Materials 220-223 (November 2012): 2273–79. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2273.

Full text

Abstract:

By using information entropy to estimate the distribution uniformity of the pixels with a same gray level, an accurate salt and pepper noise detection method is presented based on the statistical property of salt and pepper noise. And then, a new modified mean filter is designed, which sets up noise-centre filtering windows, Moreover, the weighted means are calculated by merely using the non-noise points in each filtering window. The presented filter can efficiently preserve the details of images, avoid the affection of noise points on the restore points, and reduce the dimness of the noise po

APA, Harvard, Vancouver, ISO, and other styles

45

Zhang, Houwang, Yuan Zhu, and Hanying Zheng. "NAMF: A Nonlocal Adaptive Mean Filter for Removal of Salt-and-Pepper Noise." Mathematical Problems in Engineering 2021 (March 10, 2021): 1–10. http://dx.doi.org/10.1155/2021/4127679.

Full text

Abstract:

In this paper, a novel algorithm called a Nonlocal Adaptive Mean Filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient window detector with adaptive size to detect the noise. The noisy pixel is then replaced by the combination of its neighboring pixels, and finally, a SAP noise based nonlocal mean filter is used to reconstruct the intensity values of noisy pixels. Extensive experimental results demonstrate that NAMF can obtain better performance in terms of quality for restoring images at all levels of SAP noise.

APA, Harvard, Vancouver, ISO, and other styles

46

Jia, Fang, De Cheng Xu, and Xin Fu. "An Improved Hybrid Median-Mean Filter Algorithm." Applied Mechanics and Materials 701-702 (December 2014): 288–92. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.288.

Full text

Abstract:

In the process of imaging, digitalization and transmission, images are generally contaminated by Gaussian noise and salt & pepper noise, which cannot be eliminated completely at the same time only by Mean filter or Median filter. Aiming at solving this problem, an improved hybrid median-mean filter algorithm based on the Improved Median Filtering (IMF) algorithm is proposed in this paper. The experimental results show that the new algorithm shows better performance than either Median filtering algorithm or Mean filtering algorithm, which can not only get rid of Gaussian noise and salt &amp

APA, Harvard, Vancouver, ISO, and other styles

47

He, Chun, Ke Guo, and Huayue Chen. "An Improved Image Filtering Algorithm for Mixed Noise." Applied Sciences 11, no. 21 (2021): 10358. http://dx.doi.org/10.3390/app112110358.

Full text

Abstract:

In recent years, image filtering has been a hot research direction in the field of image processing. Experts and scholars have proposed many methods for noise removal in images, and these methods have achieved quite good denoising results. However, most methods are performed on single noise, such as Gaussian noise, salt and pepper noise, multiplicative noise, and so on. For mixed noise removal, such as salt and pepper noise + Gaussian noise, although some methods are currently available, the denoising effect is not ideal, and there are still many places worthy of improvement and promotion. To

APA, Harvard, Vancouver, ISO, and other styles

48

Al Faruq, Umar, and Homa P. Harahap. "Analisa Kinerja Algoritma Detektor Sudut pada Citra Noise Komparasi Operator (Moravec, Susan, Haris, FAST, Eigen dan Forstner)." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 15, no. 1 (2018): 126–39. http://dx.doi.org/10.33751/komputasi.v15i1.1268.

Full text

Abstract:

Algoritma detektor medeskripsikan komparasi kinerja dari masing-masing algoritma pendeteksi sudut pada citra noise. Citra yang digunakan sebagai masukan adalah citra dengan format grayscale (citra abu-abu) dan diberikan beberapa jenis noise. Algoritma yang dibandingkan adalah algoritma Moravec, Susan, Harris, FAST, Eigen dan Forstner. Jenis noise yang akan di gunakan adalah gaussian, poisson, salt &#38; pepper dan speckle. Hasil pengujian didapatkan sebagai berikut; detektor Moravec mengahasilkan 1.000 titik sudut pada citra noise (gaussian, poisson, salt and pepper, speckle), rata-rata wa

APA, Harvard, Vancouver, ISO, and other styles

49

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.

Full text

Abstract:

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,

APA, Harvard, Vancouver, ISO, and other styles

50

Puji Sri Alhirani, Lailan Sofinah Harahap, and Rani Chantika. "Analisis Perbandingan Filter Median dan Gaussian dalam Mengurangi Noise pada Citra Digital." Jurnal Ilmiah Teknik Informatika dan Komunikasi 5, no. 2 (2025): 495–505. https://doi.org/10.55606/juitik.v5i2.1148.

Full text

Abstract:

. Digital image processing is one of the important aspects in the world of technology, especially in improving image quality from noise interference. This study aims to analyze and compare the performance of the Median Filter and Gaussian Filter in reducing salt & pepper noise in digital images. The research process was carried out using the Python programming language and the OpenCV and NumPy libraries. The initial image was randomly noised, then processed using both types of filters. The results obtained were evaluated visually and quantitatively using the PSNR (Peak Signal-to-Noise Rati

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!