An improved dual tree complex wavelet transform based image denoising using GCV thresholding

A, Varsha; Basu, Preetha

doi:10.1109/compsc.2014.7032635

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…The threshold functions which commonly used include "hard threshold function" and "soft threshold function" [19,21]. The definition of the hard threshold function is: when the absolute value of wavelet coefficients is less than the threshold, the wavelet coefficients are replaced by zero.…”

Section: Denoising Analysis Of Experimental Results By Wavelet Thresholdmentioning

confidence: 99%

“…However, in engineering applications, the fatigue strength of equipment is usually affected by material properties, structure, and environmental factors. And for the fatigue test conducted in this paper, 10000 on-off operations are far from reaching the fatigue life of the pull rod, which makes equation (19) difficult to apply to engineering practice. Therefore, this paper analyzes the fatigue characteristics of the pull rod by the wavelet coefficients of the strain-time curve under different operation times.…”

Section: Analysis Of Fatigue Characteristics Of Insulation Rodmentioning

confidence: 99%

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Simulation test study on fatigue characteristics of circuit breaker insulation pull rod

Liu

Wang

et al. 2022

IET Science Measure & Tech

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The insulation pull rod is the main transmission mechanism of the circuit breaker. In addition to strong electrical performance, it should also have strong mechanical properties. Studying the dynamic characteristics and response insulation pull rods during opening and closing operation and exploring the changes in mechanical characteristics of insulation pull rods during multiple openings and closings are of great significance. In this paper, a 252kV GIS circuit breaker simulator is used to carry out an opening and closing impact fatigue test on an insulation pull rod. The strain signals of the insulation pull rod during the opening and closing stages are obtained. The strain distribution of insulation pulls rod and the influence of operation times on strain are analyzed. The results show that the force on the pull rod is uneven during operation. The force on the mechanism side and contact side is small, and the force on the rod body is large. Also, the pull rod is unstable and bent under pressure force. The impact response frequency is mainly distributed between 0∼1500Hz. With the increase in operation times, the low‐frequency component of frequency response basically remains unchanged, while the high‐frequency component decreases. After 10000 times opening and closing operations, there was no obvious mechanical loss on the pull rod, but the mechanical properties decreased. The research results can provide reference and basis for the formulation of the performance test method, and specifications of insulating rod materials.

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Section: Denoising Analysis Of Experimental Results By Wavelet Thresholdmentioning

confidence: 99%

Section: Analysis Of Fatigue Characteristics Of Insulation Rodmentioning

confidence: 99%

Simulation test study on fatigue characteristics of circuit breaker insulation pull rod

Liu

Wang

et al. 2022

IET Science Measure & Tech

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“…After performing the shrinkage rule,inverse transformation is applied on the denoised wavelet coefficients as represented in (5) as:…”

Section: Wavelet Based Denoisingmentioning

confidence: 99%

“…A proper selection of threshold leads to higher denoising performance [4]. Denoising technique normally uses two thresholding technique [5,6]named as the soft and hard thresholding. Although, various researchers indicates the utilization of this denoising technique, some other different shrinkage methods also available for more efficient denoising.…”

mentioning

confidence: 99%

Denoising Images by Dual–Tree Complex Wavelet Transform Combined With Meta Heuristic Optimization Algorithms

Lavanya*,

Narasimhulu,

Prasad

2020

IJITEE

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Denoising is a prime objective technique for processing images. Image denoising techniques removes the noises present in an image without interrupting its features and contents. The image gets interrupted by channel or processing noise depending on the applications. Thus, the contaminated noises produce degradable image qualities with respect to subjective and objective approach. To overcome this, image denoising approaches were suggested. In the present research, Dual–Tree Complex Wavelet transform (DTCWT) is utilized to achieve image denoising since they perform multi resolution decomposition by two DWT trees. Soft and hard thresholding methods are used to threshold wavelet coefficients. The present research proposes a novel technique to denoise images which gives image information clearly by thresholding and optimization technique. The optimization is carried through different Meta-heuristic optimization Algorithms Genetic Algorithm (GA) and Grey-wolf optimization (GWO) algorithm. Optimization of threshold value is performed after Bayesian method and the observed output produces better results when compared to other techniques involving Visu shrink, Sure shrink and Bayes shrinkbased on peak signal to noise ratio (PSNR) and visual qualities.

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“…So, they proposed an algorithm for preserving the gradient of the image histogram which will enhance the texture of the image while removing the noise. Varsha A and Preetha B [6] proposed a Dual tree complex wavelet transform through cross validation technique. The performance of the proposed method has been evaluated based on PSNR and mean structural similarity and coefficient of correlation.…”

Section: ( ) = ( ) + ( )mentioning

confidence: 99%

Hardware based Brain MR Image De-Noising using Weiner filter with Discrete Haar Wavelet Transform

Aruchamy

Bhattacharjee

Sanyal

2017

IJBSBT

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An improved dual tree complex wavelet transform based image denoising using GCV thresholding

Cited by 9 publications

References 3 publications

Simulation test study on fatigue characteristics of circuit breaker insulation pull rod

Simulation test study on fatigue characteristics of circuit breaker insulation pull rod

Denoising Images by Dual–Tree Complex Wavelet Transform Combined With Meta Heuristic Optimization Algorithms

Hardware based Brain MR Image De-Noising using Weiner filter with Discrete Haar Wavelet Transform

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