MMW and THz images denoising based on adaptive CBM3D

Dai, Li; Zhang, You-Sai; Li, Yuanjiang; Wang, Haoxiang

doi:10.1117/12.2064052

Cited by 15 publications

(18 citation statements)

References 4 publications

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“…To deal with this, a great deal of state-of-the-art algorithms have been proposed such as [6] [7]. In order to generate the mathematical formulation of the denoising issue, we firstly define an image in a mathematical approach.…”

Section: A Image Restorationmentioning

confidence: 99%

SAR image restoration and change detection based on game theory

Zhang

Bao

et al. 2015

Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things

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In this paper, a novel unsupervised change detection algorithm based on game theory is proposed for synthetic aperture radar(SAR) images. With the introduction of Nashgame theory, we find the balance of segmentation accuracy and overall restoration performance. Restoration of images plays a denoising role due to the complex movement while obtaining a SAR image. The Segmentation procedure transfers the difference map into change map. To make the algorithm less timeconsuming, we analyze the state-of-the-art methods for generating the change map and finally select the minus map as the preferred one. The experiment based on the proposed methodology proves the accuracy and robustness of our algorithm compared with several well-known change detection techniques on both noise-free and noisy satellite images. Further optimization methods are discussed in the end.

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Section: A Image Restorationmentioning

confidence: 99%

SAR image restoration and change detection based on game theory

Zhang

Bao

et al. 2015

Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things

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“…In this paper, based on the multi-scale Calman filtering state equation and observation equation forms of wavelet decomposition structure of the multi-scale Calman filter used in image denoising is divided into three categories, we decompose layer, layer and system layer reconstruction of Calman filter concept [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Novel High Resolution Image Denoising Algorithm Based on Calman Filter and Texture Feature Extraction

Huang¹

2017

dtssehs

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Calman filtering method based on wavelet transform has been successfully applied to signal denoising. According to the different application methods and the realization forms of Calman filter, combined with the structural analysis of wavelet decomposition, we present kinds of multi-scale filtering methods into the category of the three. The simulation results show that the multi-scale Calman filtering method based on system layer has better performance. Synthetic aperture radar (SAR) images have rich texture information, which can reflect the spatial structure of objects. The texture feature is widely used in SAR image classification and SAR image segmentation. Affected by imaging factors, the direct use of texture features extracted from SAR images is not good enough. In order to avoid the traditional method of filtering followed the texture feature extraction caused by the loss of texture and edge information, this paper presents a texture feature extraction of SAR image, then using Robust PCA method, finally using texture feature clustering method K-means test after treatment with RPCA expression.

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“…The spread spectrum communication technology is introduced into the underwater acoustic communication, therefore, become the effective way to solve the stability of the communication. Spread spectrum communication technology itself is not sensitive to frequency offset, but because of the underwater acoustic signal transmission rate is low, so relative to the wireless communication, electromagnetic wave doppler frequency shift of underwater acoustic communication rate is very high [2][3][4][5]. Underwater acoustic communication are commonly use search method, namely after capture using the local carrier wave with different frequency to signal demodulation, choose the best carrier in order to realize the carrier synchronization, but the complexity of the algorithm is higher, the general real-time system can use this method.…”

Section: Introductionmentioning

confidence: 99%

A Novel Time-Delay Estimation Methodology Based on Spread Spectrum Communications

Huang¹,

Xie²,

Zhang³

2015

Proceedings of the 2015 International Conference on Education, Management, Information and Medicine

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Abstract. In this paper, we conduct research on effective and robust time-delay estimation methodology for spread spectrum communications. The development of underwater acoustic spread spectrum communication technology derived from the demand for underwater remote, reliable communication. Due to the underwater acoustic channel belt width, background noise and high rate of Doppler frequency shift, severe multipath effect, absorption problems such as uneven, makes the communication quality serious decline. We firstly analyze the fast time-delay estimators to serve as the prior knowledge, and later, we analyze the channel estimation techniques. Finally, we test the error and efficiency. Results show that the system has better ability to resist noise and multiple access interference, and improve the chaotic spread spectrum sequence to better the performance of the system of traditional chaotic spread spectrum sequence. The experimental result proves the effectiveness of proposed methodology. In the future, we plan to conduct more literature reviews to modify the current technique.

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MMW and THz images denoising based on adaptive CBM3D

Cited by 15 publications

References 4 publications

SAR image restoration and change detection based on game theory

SAR image restoration and change detection based on game theory

A Novel High Resolution Image Denoising Algorithm Based on Calman Filter and Texture Feature Extraction

A Novel Time-Delay Estimation Methodology Based on Spread Spectrum Communications

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