The lifting factorization of 2D 4-channel nonseparable wavelet transforms

Liu, Bin; Liu, Weijie

doi:10.1016/j.ins.2018.05.012

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…e position conversion set in basketball shooting is h c , and the target configuration θ g is unknown. e multiscale wavelet decomposition method [25] is used to segment the gray value in the image. e segmentation threshold meets…”

Section: Shooting Image Collection In Basketballmentioning

confidence: 99%

Artificial Intelligence and Neural Network-Based Shooting Accuracy Prediction Analysis in Basketball

Zhang

2021

Mobile Information Systems

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In order to improve the accuracy of shooting in basketball. A shooting accuracy prediction method based on the convergent improved resource allocating network (CIRAN) online radial basis function neural network (RBFNN) is proposed, and the RBFNN learning algorithm is improved. Through the collection of shooting motion images, feature point extraction, and edge contour feature extraction, the shooting motion trajectory is obtained. Using the online neural network based on the CIRAN learning algorithm to predict the accuracy of shooting, this method analyzes the radial basis function (RBF) network. Based on the RBF analysis, the number of network layers and the number of hidden layer neurons are adjusted and optimized. In order to improve the prediction accuracy of shooting in basketball, a method based on. Through the analysis, it can be known that the accuracy of both the traditional RBFNN and the CIRAN-based online neural network for the prediction of shooting accuracy is above 70%. The prediction accuracy of the online neural network for shooting is higher than that of the traditional one. This is mainly because the online update function of the learning algorithm can better adjust the corresponding structure with the development of the game and has a better generalization ability. In addition, because the CIRAN learning algorithm introduces the hidden layer neuron deletion strategy, its network structure is simpler than that of the traditional one, the number of hidden layer neurons is less, and the running time required is less, which can better meet the real-time requirements and provide a more scientific method for basketball training.

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Section: Shooting Image Collection In Basketballmentioning

confidence: 99%

Artificial Intelligence and Neural Network-Based Shooting Accuracy Prediction Analysis in Basketball

Zhang

2021

Mobile Information Systems

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“…Currently in the field of visual security, there are many emerging embedding technologies, such as least significant bit (LSB) [18,19], histogram shifting (HI) [20,21] and reversible color transform (RCT) [22] in the spatial domain. In the transform domain, such as discrete cosine transform (DCT) [23], singular value decomposition (SVD) [24,25] and lifting wavelet transform (IWT) [26,27]. In contrast, the spatial domain can better embedding and recoverability, and stronger robustness in transform domain.…”

Section: Introductionmentioning

confidence: 99%

A joint image compression and encryption algorithm based on compression sensing and bit-plane embedding

Pan¹,

Tong²,

Zhang³

et al. 2022

Phys. Scr.

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In medical, financial and other fields, the direct transmission of digital images in public channels is vulnerable to attacks and information leakage. In order to solve such problems, this paper proposes a new one-dimensional chaotic map. The information hiding visual security algorithm is based on the chaotic sequence diffusion image and bit plane decomposition technology, which greatly improves the visual security of the embedded image, and its structure and vision maintain a high degree of similarity with the carrier image. Firstly, a new one-dimensional chaotic map is proposed. The generated key stream can improve the randomness of the algorithm. Secondly, we optimize the measurement matrix to reduce the minimum coherence between the matrices and improve the reconstruction performance. Then we obtain the intermediate state cipher image through compression and encryption, and then embed the intermediate state cipher image by decomposing the carrier image bit plane, and finally obtain a visual security image. The experimental results show that, compared with the existing related literature, the algorithm has better reconstruction performance, security performance and operational efficiency.

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Multi-level wavelet network based on CNN-Transformer hybrid attention for single image deraining

Liu

Fang

2023

Neural Comput & Applic

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The lifting factorization of 2D 4-channel nonseparable wavelet transforms

Cited by 6 publications

References 37 publications

Artificial Intelligence and Neural Network-Based Shooting Accuracy Prediction Analysis in Basketball

Artificial Intelligence and Neural Network-Based Shooting Accuracy Prediction Analysis in Basketball

A joint image compression and encryption algorithm based on compression sensing and bit-plane embedding

Multi-level wavelet network based on CNN-Transformer hybrid attention for single image deraining

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