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Salt and Pepper Noise Removal for Image Using Adaptive Pulse-Coupled Neural Network Optimized by Grey Wolf Optimization and Bidimensional Empirical Mode Decomposition

Min Cui, Yicheng Wu, Chenguang Wang, Xiaochen Liu, Chong Shen
2018 Applied Sciences  
After a GWO is run to complete PCNN parameter optimization, an adaptive PCNN filter method is used to remediate the polluted noise points that correspond to the different image components, from which a  ...  Aimed at the problem of poor noise reduction effect and parameter uncertainty of pulse-coupled neural network (PCNN), a hybrid image denoising method, using an adaptive PCNN that has been optimized by  ...  Using the calculated parameters above, optimized PCNN filtering is applied to the noise-polluted Lena and Pepper images for denoising.  ... 
doi:10.3390/app8101977 fatcat:fa6jcrw4jraklpjqlwo26bqnyi

A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter

Xiangguang Zhang, Zeyu Zheng, Ichio Asanuma, Yongsheng Xu
2014 Artificial Life and Robotics  
Moreover, the performance of salt-and-pepper outlier elimination (in superresolution reconstruction area) based on our hybrid filter also supported our method.  ...  The theory analysis and the simulation experiments of the image processing indicate that this kind of filter can not only remove noise effectively but also keep the details of the image sufficiently.  ...  This research is also partly supported by the research project for a sustainable development of economic and social structure dependent on the environment of the eastern coast of Asia, by MEXT-Supported  ... 
doi:10.1007/s10015-013-0141-x fatcat:wkdmc7ze65eltnav3gird5m5hu

Research on Denoising of Hybrid Noise

X.H. Tang, Y. Zheng, Q.W. Yang
2016 Chemical Engineering Transactions  
Present denoising algorithms of hybrid noise usually filter out Gaussian noise after removing pepper-noise and have many problems such as inaccurate image restoration and insufficient protection of image  ...  The algorithm introduces the definition of the edge grid cell and takes different methods to deal with the hybrid noise in edge grid cells and non- edge grid cells according to location of the noise.  ...  Acknowledgments This paper is supported by the Guizhou Science and Technology Major Project (2013)6019)  ... 
doi:10.3303/cet1651089 doaj:a755dbbe65dd473f8028198edcb61faa fatcat:mzkbju7x2zfxhoaxiseaaclgq4

Hybrid Denoising Algorithm Based on Wavelet Decomposition and Classification Filtering

Zhang Jingyuan, Wang Zaiying
2016 DEStech Transactions on Engineering and Technology Research  
This algorithm not only can deal with gauss noise, but also can reduce salt and pepper noise, and gauss noise and salt and pepper mixed noise.  ...  Noise reduction is a widespread problem in image processing field. In this paper, a kind of image denoising method based on wavelet decomposition and classification filtering is proposed.  ...  If the noise mixed with Gauss noise and salt and pepper noise in images, we can use the algorithm A and algorithm B to reduce noise.  ... 
doi:10.12783/dtetr/icmite20162016/4575 fatcat:ooygmz7ikfhbliq6dmvexuvj4q

Novel Optimized Framework for Video Processing in IoRT Driven Hospitals

Mani Deepak Choudhry, B. Aruna Devi, M. Sundarrajan
2022 Intelligent Automation and Soft Computing  
The simulation results show better performance when compared with other image Noise Filtering Methods and other optimization algorithms when used in IoRT driven hospitals.  ...  The use of a Median Filter is done to minimize the overall Signal-to-Noise Ratio (SNR).  ...  as salt and pepper noises.  ... 
doi:10.32604/iasc.2022.024024 fatcat:r76cf6lkp5cu7imjrcycodpinq

A hybrid OSVM-OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery

Li, Zhang, Zhang, Atkinson
2019 Remote Sensing  
the most accurate accuracy in comparison with its two object-based sub-models (OSVM and OCNN) as well as the pixel-wise SVM (PSVM) and CNN (PCNN) methods.  ...  More importantly, the OSVM-OCNN method is readily generalisable to other landscape classes and, thus, should provide a general solution to solve the complex FSR image classification problem.  ...  Acknowledgments: We would like to thank the support from China Scholarship Council (CSC) (File No.201704910192) during a visit of Huapeng Li to Lancaster University.  ... 
doi:10.3390/rs11202370 fatcat:vipplpgatnbkxhmkmb2ti7ltqe

Fractional-integral-operator-based improved SVM for filtering salt-and-pepper noise

Yongcun Guo, Baiting Zhao, xiaofen jia, Yourui Huang
2019 IET Image Processing  
To protect edge and texture information, when removing salt-and-pepper (SP) noise in grayscale images, a support vector machine (SVM) denoising method is employed.  ...  The proposed method produces a visually pleasing denoised image and obtains superior image quality assessment indicators.  ...  Gaussian noise [1] and impulse noise, also known as salt-and-pepper (SP) noise, in images can seriously affect the reliability of the information.  ... 
doi:10.1049/iet-ipr.2019.0624 fatcat:zzdef64ii5de3hy54zzoftrlby

Medical Image Denoising using Unit Linking PCNN Model

2018 International Journal of Computing Communications and Networking  
Contourlet transform and Unit Linking PCNN model is a best transformation function and it is used for decomposition. Contourlet is used to sustain the edges and contour regions.  ...  Image Denoising is tranquil challenges for many researchers. Image Denoising has a main aim to retain the important details and dislodge the noises as far as possible.  ...  Additive noise is gaussian noise and salt & pepper noise. Impulse noise is amplifier noise and Multiplicative noise is speckle noise and rician noise.  ... 
doi:10.30534/ijccn/2018/03722018 fatcat:tlskqgtvozggxdexemwlltacny

Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform

Zhengrong Li, Yuee Liu, Rodney Walker, Ross Hayward, Jinglan Zhang
2009 Machine Vision and Applications  
Jinglan (2009) Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform.  ...  A pulse couple neural filter is developed to remove the background noise and generate edge map prior to Hough transform being employed to detect straight lines.  ...  Moreover, PCNF is more robust when image is contaminated with pepper and salt noise (see the second row of Figure 7 7 Figure 7 Figure 8 Figure 9 789 (a) and (b) show their voting procedures and the  ... 
doi:10.1007/s00138-009-0206-y fatcat:uumqyvt6afcrpd7oafdce3bkhi

Image fusion method based on structure-based saliency map and FDST-PCNN framework

Jiang Qian, Liu Yadong, Dai Jindun, Fu Xiaofei, Jiang Xiuchen
2019 IEEE Access  
Compared with other PCNN-based fusion methods, the proposed method achieves significant improvement in preserving detailed edge information and improving overall visual performance.  ...  The experimental results on multi-focus and multi-sensor images verify the effectiveness of our proposed fusion method.  ...  FIGURE 9 . 9 Results of image fusion with salt and pepper noise by using various methods.  ... 
doi:10.1109/access.2019.2924033 fatcat:gu3v3xy3lvgnxbfvhtvuxfp6fi

Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging

J.C. Fu, C.C. Chen, J.W. Chai, S.T.C. Wong, I.C. Li
2010 Computerized Medical Imaging and Graphics  
To evaluate the performance of the adaptive EM-PCNN, we use it to segment MR brain image into gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF).  ...  The EM model serves two functions: evaluation of the PCNN image segmentation and adaptive adjustment of the PCNN parameters for optimal segmentation.  ...  This feature is particularly useful for segmenting scans corrupted by salt and pepper noise [2] . Fig. 14a -c illustrate the segmentation output by nonadaptive EM-PCNN, EM and BCFCM, respectively.  ... 
doi:10.1016/j.compmedimag.2009.12.002 pmid:20042313 fatcat:lq4rru7h2ndspavwshagmrqrka

A Novel Spiking Cortical Model based Filter for Impulse Noise Removal

Xuming Zhang, Mingyue Ding, Yi Zhan, chaoDou Yang, pingYin Zhou
2011 International Journal of Engineering and Manufacturing  
Because of its outstanding restoration performance, the proposed filter can be used for noise removal in numerous consumer electronics products such as digital camera and digital television.  ...  A novel spiking cortical model based switching mean filter for removing impulse noise is presented.  ...  Restoration results using the various filters for Mandrill corrupted by 70% salt-pepper impulses : (a) Corrupted Mandrill, (b) MED Filters Noise density 10% 20% 30% 40% 50% 60% 70% MED 23.38 22.31  ... 
doi:10.5815/ijem.2011.02.07 fatcat:qgpk2pf3tfbrtmsgcv7ues7rje

Non-linear coupled CNN models for multiscale image analysis

F. Corinto, M. Biey, M. Gilli
2006 International journal of circuit theory and applications  
The model is based on a polynomial representation of the diffusivity function and defines a paradigm of polynomial CNNs, for approximating a large class of nonlinear isotropic and/or anisotropic PDEs.  ...  A CNN model of partial differential equations (PDEs) for image multiscale analysis is proposed.  ...  Similar considerations hold by considering different noise models (e.g. speckle or salt and pepper noise).  ... 
doi:10.1002/cta.343 fatcat:bp2jm3tpzjdy3mql3diskfalga

Effective Analysis of an Iterative Median Filter-Hardware and Software Perspective

2019 International journal of recent technology and engineering  
In this paper we have addressed the hardware modeling of a median filter using double iteration process. The iterative median filter is implemented on an Artix-7 FPGA.  ...  Image quality enhancement is a very predominant domain of discussion as the complexity of system increases, the software implementation becomes a key factor but it is not always reliable to use the approach  ...  The steps implemented are used to calculate the pollution level for a standard image [2] .Salt and pepper noise exists in most of the image transmissions.  ... 
doi:10.35940/ijrte.c5564.098319 fatcat:zhbbdw3udjdfnmqaxch2ykgnni

Land Cover Mapping with Higher Order Graph-Based Co-Occurrence Model

Wenzhi Zhao, William Emery, Yanchen Bo, Jiage Chen
2018 Remote Sensing  
Compared to the pixel- and object-based CNN methods, the proposed model achieved better performance in terms of classification accuracy.  ...  Deep learning has become a standard processing procedure in land cover mapping for remote sensing images.  ...  Last but not least, the authors would like to thank the Associate Editor and the anonymous reviewers for their detailed and highly constructive criticisms, which greatly helped us to improve the quality  ... 
doi:10.3390/rs10111713 fatcat:6mfsa2co3nd5rhoxgstobdougu
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