Image denoising algorithm of refuge chamber by combining wavelet transform and bilateral filtering

Zhang, Weipeng

doi:10.1016/j.ijmst.2013.04.016

Cited by 13 publications

(7 citation statements)

References 2 publications

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“…The detailed review papers on image denoising by wavelet transform is shown in Table 1. The different wavelet transforms adopted in the literature include Stationary wavelet transform (Guo et al, 2017), Contourlet transform (Li et al, 2016), Complex wavelet transform (Remenyi et al, 2014), Haar wavelet transform (Jesus et al, 2015), Bayesian MAP estimation (Sun et al, 2014), Gradient histogram (Song et al, 2016), DT-CWT (Naimi et al, 2015), and 2D-DWT (Zhang, 2013). Image denoising using Stationary wavelet transform (Guo et al, 2017) provides high accuracy and high stability; yet there is a presence of very large redundancy, and the computational complexity is increased.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, DT-CWT (Naimi et al, 2015) provides high efficiency in denoising, less redundant and easy computation, whereas it takes a long time as the process is too long. Furthermore, 2D-DWT (Zhang, 2013) can retain all the required details from the image and suppress the image noise. However, the complexity is high and it is theoretically difficult to understand and interpret the results.…”

Section: Literature Reviewmentioning

confidence: 99%

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Dual Stage Bayesian Network with Dual-Tree Complex Wavelet Transformation for Image Denoising

Lavanya¹,

Narasimhulu²,

Prasad³

2020

JER

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Image de-noising always plays a vital role in various engineering bids. Moreover, in image processing technology, image de-noising statistics is persisted as a substantial dispute. Over the past decades, certain de-noising methods have been exposed incredible accomplishments. This paper intends to develop a de-noising algorithm for multimodal and heterogeneous images, while the conventional de-noising algorithms handle a specific image type. The filtered information is reversed to spatial domain to recover the de-noised image. Dual tree Complex Wavelet Transform (DT-CWT) is exploited for image transformation for which the wavelet coefficients are estimated using Bayesian Regularization (BR). To ensure the de-noising performance for heterogeneous images, the statistical and wavelet features are extracted. Subsequently, the image characteristics are combined with noise spectrum to develop BR model, which estimates the wavelet coefficients for effective de-noising. Hence, the proposed de-noising algorithm exploits two stages of BR. The first stage predicts the image type, whereas the second stage estimates appropriate wavelet coefficients to DT-CWT for de-noising. The performance of the proposed model is analysed in terms of Peak Signal to Noise Ratio (PSNR), Second derivative Measure of Enhancement (SDME), Structural Similarity (SSIM), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Pearson Coefficient (PC), and Symmetric Mean Absolute Percentage Error (SMAPE) respectively. The proposed model is compared to the conventional models, and the significance of the developed model is clearly described.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Dual Stage Bayesian Network with Dual-Tree Complex Wavelet Transformation for Image Denoising

Lavanya¹,

Narasimhulu²,

Prasad³

2020

JER

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“…This is because of its capacity in analyzing signals and its fast implementation and its power in exact reconstruction. Zhang [24] presented a method of combining two-dimensional discrete wavelet transform and bilateral de-noising to detect infrared image of refuge chamber, decrease image noises of refuge chamber and gain more image details. For this aim, the wavelet transform was considered to decompose the image of refuge chamber.…”

Section: Introductionmentioning

confidence: 99%

New estimation methodologies for well logging problems via a combination of fuzzy Kalman filter and different smoothers

Soltani

Kordestani

Aghaee

2016

Journal of Petroleum Science and Engineering

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“…High-quality video and audio contacts between a refuge chamber and surface control center could alleviate the anxiety of the trapped miners and assist in management of the emergency [ 15 ]. Zhang [ 16 ] and Yao et al [ 17 ] proposed methods to improve the quality of images and signals in the communication between refuge chambers and the monitoring and control systems.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Heat Stress and the Indoor Climate Control Requirements for Movable Refuge Chambers

Hao

Guo

Lin

et al. 2016

IJERPH

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Movable refuge chambers are a new kind of rescue device for underground mining, which is believed to have a potential positive impact on reducing the rate of fatalities. It is likely to be hot and humid inside a movable refuge chamber due to the metabolism of trapped miners, heat generated by equipment and heat transferred from outside. To investigate the heat stress experienced by miners trapped in a movable refuge chamber, the predicted heat strain (PHS) model was used to simulate the heat transfer process between the person and the thermal environment. The variations of heat stress with the temperature and humidity inside the refuge chamber were analyzed. The effects of air temperature outside the refuge chamber and the overall heat transfer coefficient of the refuge chamber shell on the heat stress inside the refuge chamber was also investigated. The relationship between the limit of exposure duration and the air temperature and humidity was numerically analyzed to determine the upper limits of temperature and humidity inside a refuge chamber. Air temperature of 32 °C and relative humidity of 70% are recommended as the design standard for internal thermal environment control of movable refuge chambers.

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Image denoising algorithm of refuge chamber by combining wavelet transform and bilateral filtering

Cited by 13 publications

References 2 publications

Dual Stage Bayesian Network with Dual-Tree Complex Wavelet Transformation for Image Denoising

Dual Stage Bayesian Network with Dual-Tree Complex Wavelet Transformation for Image Denoising

New estimation methodologies for well logging problems via a combination of fuzzy Kalman filter and different smoothers

Analysis of Heat Stress and the Indoor Climate Control Requirements for Movable Refuge Chambers

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