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Journal articles on the topic 'Wiener filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Biradar, Nagashettappa, M. L. Dewal, and Manoj Kumar Rohit. "Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters." International Scholarly Research Notices 2014 (October 30, 2014): 1–11. http://dx.doi.org/10.1155/2014/876434.

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Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration

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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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Dwivedi, Saloni, and Ajay Khunteta. "Performance Comparison among Different Wiener Filter Algorithms for Speech Enhancement." International Journal of Microsystems and IoT 2, no. 1 (2024): 505–14. https://doi.org/10.5281/zenodo.10700982.

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Reconstruction of original speech signal from the noisy signal is still a difficult task as nature and characteristics of noise signal vary in time and also depends on application and context for which filtering has to be performed. There are different methods individually or also combined with other filters to get better performance in speech signal processing. Wiener filter is very popular for speech signal processing, it is a linear estimator and this makes it less complex and easy to handle. There are various algorithms to solve Wiener filtering problem. In the proposed paper, performance

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Kim, Seon Man. "Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction." Sensors 20, no. 20 (2020): 5751. http://dx.doi.org/10.3390/s20205751.

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This paper proposes a novel technique to improve a spectral statistical filter for speech enhancement, to be applied in wearable hearing devices such as hearing aids. The proposed method is implemented considering a 32-channel uniform polyphase discrete Fourier transform filter bank, for which the overall algorithm processing delay is 8 ms in accordance with the hearing device requirements. The proposed speech enhancement technique, which exploits the concepts of both non-negative sparse coding (NNSC) and spectral statistical filtering, provides an online unified framework to overcome the prob

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Jacobsen, Bo Holm. "A case for upward continuation as a standard separation filter for potential‐field maps." GEOPHYSICS 52, no. 8 (1987): 1138–48. http://dx.doi.org/10.1190/1.1442378.

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Separation filtering is incomplete even under the ideal synthetic condition of known power spectra of the regional and residual fields. I have designed some Wiener filters, which minimize the inevitable separation error, from previous statistical source models of Naidu, and Spector and Grant. This formulation includes the classic separation filters of Strakhov and of Elkins as Wiener filters. A proposed generalization of Wiener filters, denoted as uniformly suboptimum filters, quantitatively supports the statement that a wide span of separation problems may be solved adequately using some conv

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Chang, Shih Yu, and Hsiao-Chun Wu. "Tensor Wiener Filter." IEEE Transactions on Signal Processing 70 (2022): 410–22. http://dx.doi.org/10.1109/tsp.2022.3140722.

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Kiwata, Hirohito. "Optimized Wiener filter." Journal of Physics A: Mathematical and Theoretical 45, no. 35 (2012): 355101. http://dx.doi.org/10.1088/1751-8113/45/35/355101.

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8

Zalevsky, Zeev, and David Mendlovic. "Fractional Wiener filter." Applied Optics 35, no. 20 (1996): 3930. http://dx.doi.org/10.1364/ao.35.003930.

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9

Xi, Bin, and Yuehong Liu. "Iterative Wiener filter." Electronics Letters 49, no. 5 (2013): 343–44. http://dx.doi.org/10.1049/el.2013.0009.

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Rahimian, Abdurrahim, Mahanaz Etehadtavakol, Masoud Moslehi, and Eddie Y. K. Ng. "Myocardial Perfusion Single-Photon Emission Computed Tomography (SPECT) Image Denoising: A Comparative Study." Diagnostics 13, no. 4 (2023): 611. http://dx.doi.org/10.3390/diagnostics13040611.

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The present study aimed to evaluate the effectiveness of different filters in improving the quality of myocardial perfusion single-photon emission computed tomography (SPECT) images. Data were collected using the Siemens Symbia T2 dual-head SPECT/Computed tomography (CT) scanner. Our dataset included more than 900 images from 30 patients. The quality of the SPECT was evaluated after applying filters such as the Butterworth, Hamming, Gaussian, Wiener, and median–modified Wiener filters with different kernel sizes, by calculating indicators such as the signal-to-noise ratio (SNR), peak signal-to

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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.

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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

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Prasad, K. D., and R. Ramadevi. "Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Image by Mask Filtering over Wiener Filtering." CARDIOMETRY, no. 25 (February 14, 2023): 1003–9. http://dx.doi.org/10.18137/cardiometry.2022.25.10031009.

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Aim: The major purpose of this project is to improve picture enhancement for human viewers in order to improve interpretability or perception of information in images, as well as to give better input for other automated image processing approaches.The scientific images are corrupted by noise, and the images as a whole deteriorate. Edges are suppressed, structural features are blurred, and obstructions are blurred, among other things. Mask Filter and Wiener Filter are two filtering techniques. Materials and methods: Different sources of liver images from the kaggle website were used in this stu

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Dogariu, Laura-Maria, Ruxandra-Liana Costea, Constantin Paleologu, and Jacob Benesty. "A Fourth-Order Tensorial Wiener Filter Using the Conjugate Gradient Method." Symmetry 16, no. 11 (2024): 1433. http://dx.doi.org/10.3390/sym16111433.

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The recently developed iterative Wiener filter using a fourth-order tensorial (FOT) decomposition owns appealing performance in the identification of long length impulse responses. It relies on the nearest Kronecker product representation (with particular intrinsic symmetry features), together with low-rank approximations. Nevertheless, this new iterative filter requires matrix inversion operations when solving the Wiener–Hopf equations associated with the component filters. In this communication, we propose a computationally efficient version that relies on the conjugate gradient (CG) method

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Zayed, M. Ramadan. "Effect of kernel size on Wiener and Gaussian image filtering." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1455–60. https://doi.org/10.12928/TELKOMNIKA.v17i3.11192.

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In this paper, the effect of the kernel size of Wiener and Gaussian filters on their image restoration qualities has been studied and analyzed. Four sizes of such kernels, namely 3x3, 5x5, 7x7 and 9x9 were simulated. Two different types of noise with zero mean and several variances have been used: Gaussian noise and speckle noise. Several image quality measuring indices have been applied in the computer simulations. In particular, mean absolute error (MAE), mean square error (MSE) and structural similarity (SSIM) index were used. Many images were tested in the simulations; however the results

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HIPPE, P., and H. SCHLITT. "Reduced-order Wiener filter." International Journal of Systems Science 23, no. 12 (1992): 2413–18. http://dx.doi.org/10.1080/00207729208949467.

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Lee, Rok-Kyu, and Je-Chang Jeong. "Wiener Filter Based Denoising Algorithm for Demosaicking." Journal of Korea Information and Communications Society 36, no. 5C (2011): 286–94. http://dx.doi.org/10.7840/kics.2011.36c.5.286.

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Jiang, Hai Bo, and Jing Zhi Cai. "Performance Analysis of Several Common Filter." Applied Mechanics and Materials 220-223 (November 2012): 1446–49. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1446.

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Denoising is the initial stage of image processing, in preparation for the subsequent processing of the image. This article describes a field of several denoising used filters include average filter, median filter, Wiener filter, Kalman filter. Combination of diagrams, will describe their filtering principle, at the end of this paper,analysis signal to noise ratio of image and other performance indicators .

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Porsani, Milton J. "Fast algorithms to design discrete Wiener filters in lag and length coordinates." GEOPHYSICS 61, no. 3 (1996): 882–90. http://dx.doi.org/10.1190/1.1444013.

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Two recursive algorithms for designing discrete Wiener filters for wavelets of different phase characteristics are the Simpson and the Manolakis recursions. Both procedures are efficient; however, both recursions work with a prefixed length filter. Two fast algorithms to design discrete Wiener filters in lag and length coordinates are presented. The recursion methods of Levinson and Manolakis are combined to generate two fast algorithms that calculate the value for the minimized total squared error (MTSE) corresponding to spiking and shaping filters. For a spiking filter of length n and a wave

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Liu, Zhonghao. "Wiener filter and wavelet transform of noisy image analysis based on MATLAB." Applied and Computational Engineering 5, no. 1 (2023): 786–92. http://dx.doi.org/10.54254/2755-2721/5/20230704.

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In recent years, how to filter noise more effectively has been a topic of great interest, and improvements have been made based on various filtering algorithms in the hope of obtaining the most optimal filtering effect with the least amount of computation. However, there is a considerable research gap in how to achieve this goal. This article is based on this research. The motif of this study paper is the analysis of images containing Gaussian noise based on Wiener filter and wavelet transform, and an attempt to improve the filtering algorithm. The SNR and PSNR obtained by applying Wiener filt

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Salehi, Hadi, Javad Vahidi, and Homayun Motameni. "A Robust Hybrid Filter Based on Evolutionary Intelligence and Fuzzy Evaluation." International Journal of Image and Graphics 18, no. 04 (2018): 1850023. http://dx.doi.org/10.1142/s0219467818500237.

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In this paper, a novel denoising method based on wavelet, extended adaptive Wiener filter and the bilateral filter is proposed for digital images. Production of mode is accomplished by the genetic algorithm. The proposed extended adaptive Wiener filter has been developed from the adaptive Wiener filter. First, the genetic algorithm suggest some hybrid models. The attributes of images, including peak signal to noise ratio, signal to noise ratio and image quality assessment are studied. Then, in order to evaluate the model, the values of attributes are sent to the Fuzzy deduction system. Simulat

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Sriyanto, Sesar Prabu Dwi. "Adaptive seismic noise reduction using Wiener filter." Jurnal Teknologi dan Sistem Komputer 8, no. 1 (2019): 12–20. http://dx.doi.org/10.14710/jtsiskom.8.1.2020.12-20.

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Seismic noise disrupts the earthquake observation system due to the frequency and amplitude of seismic noise similar to the earthquake signal. The filter process is one of the methods that can be used to reduce seismic noise. In this study, the Wiener filter algorithm was designed with the Decision-Directed method for Apriori SNR estimation. This filter was chosen because it is adaptive, so it can adjust to environmental conditions without requiring manual parameter settings. The data used are earthquake signals that occur in the Palu area, Central Sulawesi, which are recorded on PKA29 tempora

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Xu, Ying Jie, Ming Yu Gao, and Zhi Wei He. "High-Speed Acquisition and Filtering of Yarn Signal." Applied Mechanics and Materials 411-414 (September 2013): 1529–34. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1529.

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We have designed a photoelectric yarn signal acquisition system, which is based on the STM32 processor, having a sample rate up to 270kHz, and uploading data collection through synchronous parallel communication mode; Owing to the large noise of yarn signal and the unobviousness of yarn defect, we respectively adopting wiener filter and mean filter to filter this signal; The simulation result of matlab has manifested that both the wiener filter and mean filter can effectively decrease the noise level of the yarn signal and make the nep defects easier to identify, and that the wiener filter app

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Prasad, K. D., and R. Ramadevi. "Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Image by Median Filtering over Wiener Filtering." CARDIOMETRY, no. 25 (February 14, 2023): 996–1002. http://dx.doi.org/10.18137/cardiometry.2022.25.9961002.

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Aim: The purpose of this study is to use median filters and wiener filters to minimize noise in liver images in order to improve them. In addition, the output of both filters was analyzed based on their Peak Signal to Noise Ratio (PSNR). Materials and Methods: The research includes two groups; each group has a sample size of 20. Grayscale medical images collected from the kaggle website were used in this research. Samples were considered as (N=20) for guided filter and (N=20) for fast bilateral filter with total sample size 40 calculated using clinicalc.com. Image enhancement is used to enhanc

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Walden, A. T. "Robust deconvolution by modified Wiener filtering." GEOPHYSICS 53, no. 2 (1988): 186–91. http://dx.doi.org/10.1190/1.1442453.

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Deconvolution in the presence of additive noise is a well known problem for which there exists a Wiener filter which spectrally whitens while also suppressing the noise. A simple variant of this standard Wiener filter incorporates a parameter p which is intended to allow further weight to be given to noise suppression. This filter is often called a modified Wiener filter. To design such a filter, one must know the frequency characteristics of the wavelet precisely, plus the spectra of the input and additive noise. Typically, some appropriate estimate of the frequency function of the wavelet is

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Heba Khudhair Abbas, Haidar Jawad Mohamad, and Khloud Falih Abbas. "Ultrasound image smoothing based on adaptive and non-adaptive filters." Journal of the Pakistan Medical Association 74, no. 10 (Supple-08) (2024): S345—S351. http://dx.doi.org/10.47391/jpma-bagh-16-79.

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Objective: To model adaptive and non-adaptive filters to ensure smooth ultrasound images.Method: The comparative study was conducted at Al-Yarmouk Teaching Hospital, Al Mustansiriyah University,Baghdad, Iraq, in 2019, and comprised ultrasound images of kidney (303x208 pixel) and foetus (111x109 pixel).These images were smoothed based on 8 filters; 1 non-adaptive (median), and 7 adaptive enhanced filters (Gamma,Wiener, Lee, Frost, Kuan, Adaptive Lee and Adaptive Frost). They were applied to the images by windows measuring3x3, 5x5, 7x7. The additive noise and the multiplicative noise factor were

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Y, Sravanthi. "LSTM - Aided Speech Enhancement with Wiener Filter Adaptation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30882.

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Speech enhancement plays a pivotal role in various applications, from improving the intelligibility of spoken communication in noisy environments. With the assistance of deep learning, a novel approach speech signal enhancement model is introduced in this research. The proposed LSTM model estimates the tuning factor of the Wiener filter with the aid of extracted features to obtain the de-noised speech signal. This model is structured into two phases: Training and Testing. During the training phase, Non-negative Matrix Factorization (NMF) is employed to estimate both the noise and signal spectr

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Wang, Gang, He Xin Chen, and Mian Shu Chen. "Research on the Algorithm of Adaptive Loop Filter Based on Flexible Quadtree." Applied Mechanics and Materials 423-426 (September 2013): 2491–95. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2491.

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The algorithm of adaptive loop filter based on flexible quad tree (Q-ALF) is put forward targeting the problem that deblocking loop filter used by H.264/AVC cant further improve video coding quality. This algorithm, through the original image and the image after deblocking filter, works out wiener filter and selects a wiener filter with optimal size by taking the SAD of the image after Wiener filtering and the original image as RDO cost and based on RDO model, then uses this filter to filtrate the area that needs filtration. Simulation result shows that Q-ALF algorithm can improve the PSNR of

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Nakamori, Seiichi. "Robust Recursive Least-Squares Wiener Filter for Linear Continuous-Time Uncertain Stochastic Systems." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 19 (October 4, 2023): 108–17. http://dx.doi.org/10.37394/232014.2023.19.12.

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For linear continuous-time systems with uncertainties in the system and observation matrices, an original robust RLS Wiener filter is designed in this study. The robust RLS Wiener filter does not assume norm-bounded uncertainty for the system and observation matrices, in contrast to the robust Kalman filter. In the design of the robust RLS Wiener filter, the degraded signal, affected by the uncertainties in the system and observation matrices, is modeled by an autoregressive (AR) model. The system and observation matrices for the degraded signal are formulated from the relationship between the

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Shan, Wei. "Optimized Design of 3D Spatial Images Based on Kalman Filter Equation." Advances in Mathematical Physics 2021 (December 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/7262871.

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This paper takes the advantageous ability of Kalman filter equation as a means to jointly realize the accurate and reliable extraction of 3D spatial information and carries out the research work from the extraction of 3D spatial position information from multisource remote sensing optical stereo image pairs, recovery of 3D spatial structure information, and joint extraction of 3D spatial information with optimal topological structure constraints, respectively. Taking advantage of the stronger effect capability of Wiener recovery and shorter computation time of Kalman filter recovery, Wiener re

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B.R., Manju, and Sneha M.R. "ECG Denoising Using Wiener Filter and Kalman Filter." Procedia Computer Science 171 (2020): 273–81. http://dx.doi.org/10.1016/j.procs.2020.04.029.

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Melinda, Melinda, Elizar Elizar, Yunidar Yunidar, and Muhammad Irhamsyah. "Analysis of the Wiener filters application to the spectral fluctuation patterns segmentation." Jurnal Teknologi dan Sistem Komputer 9, no. 1 (2020): 22–30. http://dx.doi.org/10.14710/jtsiskom.2020.13868.

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The Wiener filter is an adaptive filter which able to produce the desired estimates. Besides, this filter can also suppress noise in digital signal processing. This study aims to segment the fluctuation pattern, which results from data acquisition from a capacitive sensor with the object H2O. The fluctuation pattern to be processed is the High Fluctuation (HF) pattern by dividing the pattern into several segments according to the input frequency. It aims to see in more detail and clearly the state of each segmentation of the pattern. The results will show noise attenuation and suppression afte

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Nakamori, Seiichi. "Recursive Least-Squares Wiener Consensus Filter and Fixed-Point Smoother in Distributed Sensor Networks." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 19 (February 22, 2023): 1–12. http://dx.doi.org/10.37394/232014.2023.19.1.

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Distributed Kalman filter (DKF) is classified into the information fusion Kalman filter (IFKF), i. e. the centralized Kalman filter (CKF), and the Kalman consensus filter (KCF) in distributed sensor networks. The KCF has the advantage to improve the estimate of the state at the sensor node uniformly by incorporating the information of the observations and the filtering estimates at the neighbor nodes. In the first devised KCF, a user adjusts the consensus gain. This paper designs the recursive least-squares (RLS) Wiener consensus filter and fixed-point smoother that do not need to be adjusted

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Benesty, Jacob, Constantin Paleologu, and Laura-Maria Dogariu. "An Iterative Wiener Filter Based on a Fourth-Order Tensor Decomposition." Symmetry 15, no. 8 (2023): 1560. http://dx.doi.org/10.3390/sym15081560.

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This work focuses on linear system identification problems in the framework of the Wiener filter. Specifically, it addresses the challenging identification of systems characterized by impulse responses of long length, which poses significant difficulties due to the existence of large parameter space. The proposed solution targets a dimensionality reduction of the problem by involving the decomposition of a fourth-order tensor, using low-rank approximations in conjunction with the nearest Kronecker product. In addition, the rank of the tensor is controlled and limited to a known value without i

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Heidrich, G., C. O. Sahlmann, U. Siefker, et al. "Improvement of tomographic reconstruction in bone SPECT." Nuklearmedizin 45, no. 01 (2006): 35–40. http://dx.doi.org/10.1055/s-0038-1623932.

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Summary Aim: The comparison between iterative reconstruction and filtered backprojection in the reconstruction of bone SPECT in the diagnosis of skeletal metastases. Patients, methods: 47 consecutive patients (vertebral segments: n = 435), with suspected malignancy of the vertebral column, were examined by bone scintigraphy and MRI (maximal interval between the two procedures ± 5 weeks). The SPECT-data were reconstructed with an iterative algorithm (ISA) and with filtered backprojection. We defined semiquantitative criteria in order to assess the quality of the tomograms. Conventional reconstr

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R, Nanmaran, and S. Hari Priya. "Design and Development of Decorrelation Stretch Technique for Enhancing the Quality of Satellite Images with Improved MSE and UIQI in Comparison with Wiener Filter." ECS Transactions 107, no. 1 (2022): 13279–88. http://dx.doi.org/10.1149/10701.13279ecst.

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Image enhancement is the process of increasing the quality of an image by enhancing certain features of an image and the resultant image is more suitable than the input image. This research is aimed at developing more efficient image enhancement techniques in the spatial domain. Materials and methods: Image enhancement using decorrelation stretch technique (N=30) is proposed in this work, and this method is compared with Wiener filter (N=30). The sample size used for both groups is 30. Results: The quality enhanced image is measured using Mean Square Error (MSE) and Universal Image Quality Ind

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Siddeq, Mohammed M., and Sadar Pirkhider Yaba. "Using Discrete Wavelet Transform and Wiener filter for Image De-nosing." Journal of Wasit for Science and Medicine 2, no. 2 (2022): 18–30. http://dx.doi.org/10.31185/jwsm.51.

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In this paper we proposed an algorithm for image de-nosing based on; the two level discrete wavelet transform (DWT), and Wiener filter, also this paper describe estimate noise power. At first The DWT transform noisy image into sub-bands, consist of lowfrequencyand high-frequencies, and then estimate noise power for each sub-band. The noise power is computed through two important computations; compute square of variance for each sub-band then compute the mean of the variance. After compute the variance apply the wiener filter on each sub-band by using local window nn , finally perform inverse

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Kumar, Madam Aravind, and Kamsali Manjunatha Chari. "Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement." Journal of Intelligent Systems 29, no. 1 (2019): 1360–78. http://dx.doi.org/10.1515/jisys-2017-0509.

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Abstract Speech signals are usually affected by noises during the communication process. For suppressing the noise signal that is combined with the speech signal, a Wiener filter is adapted in digital hearing aids. Weiner filter plays an important role in noise suppression and enhancement by estimating the relation between the power spectra of the noise-affected speech signal and the noise signal. Power consumption and the hardware requirement are the important problems in adapting Weiner filter for major communication systems. In this work, we implemented an efficient Wiener filter and applie

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Wu, Yi-Wen, Si-Yu Li, Yang Liu, Zirui Zhang, Hao Liu, and Hong Li. "Study on the filters of atmospheric contamination in ground based CMB observation." Journal of Cosmology and Astroparticle Physics 2023, no. 04 (2023): 047. http://dx.doi.org/10.1088/1475-7516/2023/04/047.

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Abstract The atmosphere is one of the most significant sources of contamination in ground-based Cosmic Microwave Background (CMB) observations. Atmospheric emission increases the additional optical loading on the detector, resulting in higher photon noise. Additionally, atmospheric fluctuations cause spatial and temporal variations in detected power, leading to additional correlations between detectors and in the time stream of individual detectors. This correlated signal, known as the 1/f noise, can interfere with the detection of CMB signals, severely hindering the probing of CMB signals. In

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Sultan, Nora Hussam. "HYBRID IMAGE DENOISING USING WIENER FILTER WITH DISCRETE WAVELET TRANSFORM AND FRAMELET TRANSFORM." Kufa Journal of Engineering 7, no. 2 (2016): 122–33. http://dx.doi.org/10.30572/2018/kje/721211.

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Removal of noise from an image is an essential part of image processing systems. In this paper a hybrid denoising algorithm which combines spatial domain Wiener filter and thresholding function in the wavelet and framelet domain is done. In this work three algorithms are proposed. The first hybrid denoising algorithm using Wiener filter with 2-level discrete wavelet transform (DWT), the second algorithm its using Wiener filter with 2-level framelet transform (FLT) and the third hybrid denoising algorithm its combines wiener filter with 1-level wavelet transform then apply framelet transform on

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Mohan, J., V. Krishnaveni, and Yanhui Guo. "A New Neutrosophic Approach of Wiener Filtering for MRI Denoising." Measurement Science Review 13, no. 4 (2013): 177–86. http://dx.doi.org/10.2478/msr-2013-0027.

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In this paper, a new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image. A neutrosophic set, a part of neutrosophy theory, studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. Now, we apply the neutrosophic set into image domain and define some concepts and operators for image denoising. The image is transformed into NS domain, described using three membership sets: True (T), Indeterminacy (I) and False (F). The entropy of the neutrosophic s

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Salehi, Hadi, Javad Vahidi, Thabet Abdeljawad, Aziz Khan, and Seyed Yaser Bozorgi Rad. "A SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter." Remote Sensing 12, no. 15 (2020): 2371. http://dx.doi.org/10.3390/rs12152371.

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The elimination of multiplicative speckle noise is the main issue in synthetic aperture radar (SAR) images. In this study, a SAR image despeckling filter based on a proposed extended adaptive Wiener filter (EAWF), extended guided filter (EGF), and weighted least squares (WLS) filter is proposed. The proposed EAWF and EGF have been developed from the adaptive Wiener filter (AWF) and guided Filter (GF), respectively. The proposed EAWF can be applied to the SAR image, without the need for logarithmic transformation, considering the fact that the denoising performance of EAWF is better than AWF. T

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Jeurens, T. J. M., J. C. Somer, F. A. M. Smeets, and A. P. G. Hoeks. "The Practical Significance of Two-Dimensional Deconvolution in Echography." Ultrasonic Imaging 9, no. 2 (1987): 106–16. http://dx.doi.org/10.1177/016173468700900203.

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This paper evaluates deconvolution (inverse filtering) as applied to ultrasonic imaging systems, and discusses the obstacles which are encountered employing the technique in practice. A minicomputer is used to generate artifical echo signals, simulating rf signals resulting from a set of point reflectors in a homogeneous medium, as recorded by an electronically focused group-steered linear array scanner. Two-dimensional deconvolution in combination with a Wiener noise reduction filter (i.e., a Wiener-Inverse filter) is applied to these simulated rf signals, which were contaminated with white n

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Turk, Neelam, Sangeeta Kamboj, Sonam Khera, and Neha Rajput. "Performance Analysis of Different Restoration Techniques for Degraded 3D Cervical Spine Mri Image." Biomedical and Pharmacology Journal 14, no. 02 (2021): 853–67. http://dx.doi.org/10.13005/bpj/2188.

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In the proposed work, noise models such as Salt & Pepper, Gaussian and Poisson are considered in order to corrupt the image.Image restoration is still challenging task to recover an original image using a degradation and restoration model. In the paper, Gaussian, Average and Wiener linear image restoration techniques are used to recover the original MRI image. Median filter, Min and Max non-linear filters are also used to obtain uncorrupt image in the paper.Mean square error (MSE), Peak Signal to Noise Ratio (PSNR) and Cross Correlation(CC) performance analysis criteria are used to compare

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Biswas, Jagonnath, Tanbin Ahmed, Sazzad M. S. Imran, and Abul Kalam Azad. "Effective Noise Reduction Filters for Precise Temperature Measurement Using Brillouin Distributed Optical Fiber Sensors." Dhaka University Journal of Applied Science and Engineering 8, no. 1 (2024): 42–50. http://dx.doi.org/10.3329/dujase.v8i1.72992.

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This study explores the effectiveness of various noise reduction filters in accurately measuring temperature distributions over a 38.2 km single-mode fiber (SMF). Brillouin optical time-domain analysis (BOTDA) sensor is utilized to gather Brillouin gain spectra (BGSs), which are denoised using bilateral filter (BF), guided filter (GF), adaptive Wiener filter (AWF), non-local means filter (NLMF), average filter (AF) and disc filter (DF). The temperature distributions over the SMF are then determined by applying least-squares curve fitting (LSCF). The study assesses the efficacy of noise reducti

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Abd Almisreb, Ali, Nooritawati Md Tahir, Ahmad Farid Abidin, and Norashidah Md Din. "Speech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers." International Journal of Engineering & Technology 7, no. 4.11 (2018): 231. http://dx.doi.org/10.14419/ijet.v7i4.11.20813.

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In this paper, a speech enhancement method using 2D Gabor filter is proposed. The proposed filter is used to enhance Arabic phoneme speech signals that have been recorded under control environment namely indoor room recording. All the phoneme signals are spoken by Malay speakers and considered as non-native Arabic speakers. Firstly, corrupted speech signals by noise must be enhanced before further processing. The effectiveness of the suggested approach is evaluated in compare with Wiener filter. It is proven that the proposed 2D Gabor filters performed appropriately for speech enhancement purp

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Abd Almisreb, Ali, Nooritawati Md Tahir, Ahmad Farid Abidin, and Norashidah Md Din. "Speech Enhancement based on 2D Gabor Filters for Arabic Phoneme Spoken by Malay Speakers." International Journal of Engineering & Technology 7, no. 4.11 (2018): 271. http://dx.doi.org/10.14419/ijet.v7i4.11.21391.

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In this paper, a speech enhancement method using 2D Gabor filter is proposed. The proposed filter is used to enhance Arabic phoneme speech signals that have been recorded under control environment namely indoor room recording. All the phoneme signals are spoken by Malay speakers and considered as non-native Arabic speakers. Firstly, corrupted speech signals by noise must be enhanced before further processing. The effectiveness of the suggested approach is evaluated in compare with Wiener filter. It is proven that the proposed 2D Gabor filters performed appropriately for speech enhancement purp

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He, Qian, Guang Zhi Wu, and Yan Jun Wu. "Tracking Optimization of FH Signal Based on Wiener Filtering." Advanced Materials Research 989-994 (July 2014): 4038–41. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4038.

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Comparing with the traditional fixed carrier frequency signal, using FH (Frequency-Hopped) signals improved the performance of anti-interference of the TT&C system when bring the low signal tracking accuracy. In order to solve this problem, this paper proposed a loop structure of using wiener filter, the filter coefficient was deduced. Simulation results show that the loop tracking precision was increased after the optimization, and the improvement has relations with the filter order n. When, the speed measuring precision reached 30cm/s which was increased about 3 times than did not use wi

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Heryana, Nono, and Rini Mayasari. "Implementasi Nose Removal Menggunakan Wiener Filter untuk Perbaikan Citra Digital." Syntax : Jurnal Informatika 5, no. 2 (2016): 159–64. http://dx.doi.org/10.35706/syji.v5i2.709.

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Kualitas citra yang dihasilkan dari perangkat digital bisa saja memilikikualitas yang kurang baik, bisa saja citra yang dihasilkan untukmendokumentasikan momen-momen tertentu menghasilkan citra yang memilikinoise, blur atau kualitas pencahayaan yang kurang baik dari citra tersebut. Salahsatu metode yang bisa digunakan dalam melakukan perbaikan citra adalahWiener Filter, metode ini meminimalkan Mean Square Error untuk keseluruhanproses invert filter dan smoothing noise. Hasil yang di dapatkan dari penelitianini adalah metode Wiener Filter optimal dalam melakukan perbaikan citra,terutama citra y

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Kessel, Robert. "WIENER FILTER ESTIMATION OF TRANSFER FUNCTIONS." Journal of the Experimental Analysis of Behavior 81, no. 3 (2004): 289–96. http://dx.doi.org/10.1901/jeab.2004.81-289.

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Biswas, Prodip, Abu Sufian Sarkar, and Mohammed Mynuddin. "Deblurring Images using a Wiener Filter." International Journal of Computer Applications 109, no. 7 (2015): 36–38. http://dx.doi.org/10.5120/19203-0846.

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