Comparison between Mean Filter and Median Filter Algorithm in Image Denoising Field

An image denoising method based on spatial filtering is proposed on order to overcoming the shortcomings of traditional denoising methods in this paper. The method combined mean mask algorithm with median filtering technique is able to replace the gray values of noisy image pixel by the mean or median value in its neighborhood mask matrix and highlight the characteristic value of the image. Peak signal to noise ratio and mean square error are used as the evaluation index in this method and comparison between mean filter and median filter is done. The experimental results show that this denoising system makes the images have a high signal to noise ratio and integrity of edge details and take into account real-time, and fast response characteristic of the system.

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Research on LIFT Technology for 3D Seismic Denoising in Coalfield

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.6328 ◽

2014 ◽

Vol 556-562 ◽

pp. 6328-6331

Author(s):

Su Zhen Shi ◽

Yi Chen Zhao ◽

Li Biao Yang ◽

Yao Tang ◽

Juan Li

Keyword(s):

Signal To Noise Ratio ◽

High Signal ◽

3D Seismic ◽

Signal To Noise ◽

Denoising Method ◽

Seismic Processing ◽

Work Area ◽

Noise Data ◽

Noise Ratio ◽

Effective Signal

The LIFT technology has applied in process of denoising to ensure the imaging precision of minor faults and structure in 3D coalfield seismic processing. The paper focused on the denoising process in two study areas where the LIFT technology is used. The separation of signal and noise is done firstly. Then denoising would be done in the noise data. The Data of weak effective signal that is from the noise data could be blended with the original effective signal to reconstruct the denoising data, so the result which has high signal-to-noise ratio and preserved amplitude is acquired. Thus the fact shows that LIFT is an effective denoising method for 3D seismic in coalfield and could be used widely in other work area.

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Catenary image denoising method using lifting wavelet-based contourlet transform with cycle shift-invariance

International Journal of Wavelets Multiresolution and Information Processing ◽

10.1142/s0219691318500601 ◽

2019 ◽

Vol 17 (01) ◽

pp. 1850060 ◽

Cited By ~ 2

Author(s):

Changdong Wu ◽

Hua Jiang

Keyword(s):

Image Denoising ◽

Mean Squared Error ◽

Detection System ◽

Signal To Noise Ratio ◽

Contourlet Transform ◽

Signal To Noise ◽

Denoising Method ◽

Shift Invariance ◽

Lifting Wavelet ◽

Noise Ratio

In the catenary status detection system based on the image processing, quality of the captured catenary image is critical. In order to obtain a high quality image for further analysis, this paper proposes a new catenary image denoising method based on lifting wavelet-based contourlet transform with cycle shift-invariance (LWBCTCS). In this method, the lifting wavelet is first constructed based on wavelet transform (WT). Then, to decrease the redundancy of contourlet transform (CT), the lifting wavelet-based contourlet transform (LWBCT) is built by using the lifting wavelet to replace the Laplacian pyramid (LP) transform of CT. Finally, the LWBCT with the cycle shift-invariance (LWBCTCS) algorithm is combined to reduce the pseudo-Gibbs phenomena of LWBCT. The proposed method not only has the virtues of multi-scale and multi-direction, but also reduces the visual artifacts in the denoised image. The results of comparative experiments with captured catenary image show that the proposed method can achieve satisfactory denoising performance, in particular, for catenary image with abundant texture and detail outline information. It not only eliminates noise but also preserves the textures and details simultaneously. Besides, comprehensive consideration of the denoising performance shows that the proposed algorithm in terms of the signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR) and mean squared error (MSE) is stable than those conventional denoising algorithms, including WT, CT, curvelet transform (CV) and BLS-GSM methods. The visual quality as well as quantitative metrics is superior than those conventional denoising methods.

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Perbandingan Algoritma Mean Filter, Median Filter dan Wiener Filter pada Aplikasi Restorasi Citra RGB Terdegradasi Impulse Noise Menggunakan The Peak Signal To Noise Ratio (PSNR)

10.31227/osf.io/rt6we ◽

2017 ◽

Author(s):

Arnes Sembiring

Keyword(s):

Impulse Noise ◽

Signal To Noise Ratio ◽

Median Filter ◽

Wiener Filter ◽

Signal To Noise ◽

Mean Filter ◽

Noise Ratio

Artikel ini merupakan versi postprint, artikel ini sudah dipublikasikan pada Jurnal Saintek Fak. Teknik Universitas Islam Sumatera Utara (UISU), ISSN: 2355-2395, Volume 2 Nomor 2 tahun 2015, halaman 234-244

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Design and Hardware Implementation of Image Compression Denoising Based on Median Filter and Wavelet Transform

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.3218 ◽

2014 ◽

Vol 602-605 ◽

pp. 3218-3222

Author(s):

Wei Qu ◽

Xiao Xin Sun

Keyword(s):

Image Processing ◽

Wavelet Transform ◽

Image Compression ◽

Hardware Implementation ◽

Median Filter ◽

Processing System ◽

Response Characteristic ◽

Fast Response ◽

High Signal ◽

Denoising Method

An image compression denoising method based on median filter and wavelet transform is proposed in order to overcoming shortcomings of traditional methods of image processing in this paper. This method combined hardware parallelism with software technology is enable to achieve image compression denoising and take into account algorithm validation, and fast response of the system. An real-time image processing system is design by this method. Design and hardware implementation of fast median filtering algorithm based on EP1C12 FPGA chip is realized and software simulation of median filter and wavelet transform is done. The experimental results show that this system has advantages of fast response characteristic, less time consuming and high signal to noise ratio.

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Image Denoising by using Modified SGHP Algorithm

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v8i2.pp971-978 ◽

2018 ◽

Vol 8 (2) ◽

pp. 971

Author(s):

Sreedhar Kollem ◽

K. Ramalinga Reddy ◽

D. Sreenivasa Rao

Keyword(s):

Image Denoising ◽

Signal To Noise Ratio ◽

Similarity Index ◽

Structural Similarity ◽

Natural Images ◽

Signal To Noise ◽

Structural Similarity Index ◽

Denoising Method ◽

Noisy Observation ◽

Noise Ratio

In real time applications, image denoising is a predominant task. This task makes adequate preparation for images looks prominent. But there are several denoising algorithms and every algorithm has its own distinctive attribute based upon different natural images. In this paper, we proposed a perspective that is modified parameter in S-Gradient Histogram Preservation denoising method. S-Gradient Histogram Preservation is a method to compute the structure gradient histogram from the noisy observation by taking different noise standard deviations of different images. The performance of this method is enumerated in terms of peak signal to noise ratio and structural similarity index of a particular image. In this paper, mainly focus on peak signal to noise ratio, structural similarity index, noise estimation and a measure of structure gradient histogram of a given image.

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Narrow-frequency sharp-angular filters using all-dielectric cascaded meta-gratings

Nanophotonics ◽

10.1515/nanoph-2020-0141 ◽

2020 ◽

Vol 9 (10) ◽

pp. 3443-3450 ◽

Cited By ~ 1

Author(s):

Wei-Nan Liu ◽

Rui Chen ◽

Wei-Yi Shi ◽

Ke-Bo Zeng ◽

Fu-Li Zhao ◽

...

Keyword(s):

Thin Film ◽

Signal To Noise Ratio ◽

Incident Angle ◽

Design Strategy ◽

Transmission Peak ◽

High Signal ◽

Waveguide Array ◽

Signal To Noise ◽

Center Wavelength ◽

Noise Ratio

AbstractSelective transmission or filtering always responds to either frequency or incident angle, so as hardly to maximize signal-to-noise ratio in communication, detection and sensing. Here, we propose compact meta-filters of narrow-frequency sharp-angular transmission peak along with broad omnidirectional reflection sidebands, in all-dielectric cascaded subwavelength meta-gratings. The inherent collective resonance of waveguide-array modes and thin film approximation of meta-grating are employed as the design strategy. A unity transmission peak, locating at the incident angle of 44.4° and the center wavelength of 1550 nm, is demonstrated in a silicon meta-filter consisting of two-layer silicon rectangular meta-grating. These findings provide possibilities in cascaded meta-gratings spectroscopic design and alternative utilities for high signal-to-noise ratio applications in focus-free spatial filtering and anti-noise systems in telecommunications.

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