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检索条件"任意字段=4th Conference on Wavelet Applications in Signal and Image Processing"

共 4114 条记录，以下是1-10 订阅

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Reversible image Data Hiding based on improved Block Histogram Shifting 24

Reversible Image Data Hiding based on improved Block Histogr...

引用

4th International conference on signal processing and Communication Technology, SPCT 2024

作者： Wang, Jiaxin XiDian University Shaanxi Xi’an China

ISBN: (纸本)9798400710636

With the rapid development of network communication, image data hiding technology has occupied an important position in the field of information security. As a branch of image data hiding, reversible image data hiding can recover the original carrier after extracting the embedded information. Reversible image data hiding has potential applications in medical images, military images, legal scanned documents, and other fields. there is a strong demand in many applications to maintain a high PSNR value for stego images while providing high embedding capacity. But this work often has great challenges. In this paper, we propose a new reversible image data hiding algorithm by improving typical block histogram shifting. the pixels corresponding to the peak and sub-peak in the block histogram are selected as the host for information embedding. the proposed technique can improve the embedding capacity and limit image distortion through careful block processing. the intensive experiments using images of different sizes as host media are conducted. the experimental results show that stego images can achieve an average PSNR of over 45dB with a high embedding capacity. © 2024 Copyright held by the owner/author(s).

关键词： image data hiding

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Fractional dual tree complex wavelet packet domain based image watermarking 4th

Fractional dual tree complex wavelet packet domain based ima...

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4th International conference on Computational Methods in Science and Technology, ICCMST 2024

作者： Singh, Harpal Hrisheekesha, P.N. Kaushal, Priyanka Kaur, Sukhpreet Chandigarh Group of Colleges Punjab Landran Mohali India

ISBN: (纸本)9781032911571

this paper proposes a fractional dual tree complex wavelet packet domain based transform (Fr-DT-CWPT) for image watermarking. the poor directionality and lack in shift invariance problems of discrete wavelet transform (DWT) be able to conquer by DTCWT. the recursive process of DT-CWT on lowpass and highpass responses can improve the effectiveness of the system for more analysis. this process is known as dual tree complex wavelet packet transform (DT-CWPT). In this paper, the amalgamation of fractional Fourier transform (FrFT), DT-CWPT and singular value decomposition (SVD) is presented for image watermarking application. the performance of the method is analyzed by using different watermarks with different performance matrics i.e. peak signal to noise ratio while considering the human visual system and correlation coefficient (CC). To prove the strength of watermarking method, various attacks were performed and the results are presented which indicates a substantial enhancement as compare to other alive methods. © 2025 the Author(s).

关键词： Discrete wavelet transforms

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Bio-Inspired Tree Seed Algorithm Enhanced Discrete wavelet Technique for Memory Control 4

Bio-Inspired Tree Seed Algorithm Enhanced Discrete Wavelet T...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： More, Sachin D Ingle, Dayanand Bharati Vidyapeeth College of Engineering University of Mumbai Dept. of Computer Engineering Navi Mumbai India

ISBN: (纸本)9798331523923

the widely recognized classical image compression techniques are renowned for their excellent performance, minimal computational complexity, and the ability to generate an embedded bitstream that can be decoded at varying bit rates, resulting in progressively improved image quality as more bits are received. It requires a significant amount of computer memory as it stores the generated sets and the pixel locations in linked lists. the multiresolution feature of transform does not result in the creation of a resolution-scalable bitstream that would allow the image to be decoded at various resolutions. the enormous memory issue with the conventional methods is resolved by the Tree Seed Algorithm (TSA) an Enhanced Discrete wavelet Transform methodology which requires just one list of fixed size with average of 2.25 bits/pixel and size of 1/4 of the image. the primary contribution of this study lies in enhancing image quality and resolution thereby optimizing memory usage. the TSA Optimized Discrete wavelet Transform approach is recommended in this study to decrease complexity and improve processing speed. Using the unique attributes of the algorithm, it is particularly well-suited to meet the diverse skill levels and resolution preferences of contemporary Internet users. © 2025 IEEE.

关键词： Decoding

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Proceedings of 2024 4th International conference on signal processing and Communication Technology, SPCT 2024

Proceedings of 2024 4th International Conference on Signal P...

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4th International conference on signal processing and Communication Technology, SPCT 2024

ISBN: (纸本)9798400710636

the proceedings contain 54 papers. the topics discussed include: design and implementation of IIR filters for power line interference removal in intramuscular EMG signals;investigation of acoustic properties in casing for water-filled wells pipe;catch fish optimization algorithm for multi-threshold segmentation in esophageal cancer CT image analysis;improving temperature measurement accuracy for layer chickens using depth estimation with visible light and low-cost thermal infrared cameras;adaptability analysis method of geomagnetic map based on adaptive weighted PSO-BP model;reversible image data hiding based on improved block histogram shifting;convergence zone formed by bottom reflection in deep water with an incomplete channel;and an investigation of rotary position embedding for speech enhancement.

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A Blind Calibration Method for I/Q Imbalance Based on Gradient Descent 24

A Blind Calibration Method for I/Q Imbalance Based on Gradie...

引用

4th International conference on signal processing and Communication Technology, SPCT 2024

作者： Jing, Pengsheng Cao, Jia Peng, Yao Chen, Pengwei Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9798400710636

this paper presents an adaptive blind calibration algorithm for I/Q imbalance, based on gradient optimization and momentum methods, addressing quadrature gain and phase imbalance issues in the baseband signal of zero-IF receivers. through sophisticated mathematical modeling and iterative optimization, this method incrementally refines the estimated values of gain and phase errors to achieve effective amplitude and phase corrections, minimizing the impact of image frequency components. Compared to other calibration methods, this approach exhibits superior adaptability, accuracy, and lower complexity. Simulation results demonstrate that the proposed algorithm effectively corrects I/Q imbalance, enhances the image rejection ratio (IRR), and improves overall communication system performance. © 2024 Copyright held by the owner/author(s).

关键词： image enhancement

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A Speech Enhancement Algorithm Combining wavelet Transform and Adaptive Filters 6

A Speech Enhancement Algorithm Combining Wavelet Transform a...

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6th IEEE International conference on image processing, applications and Systems, IPAS 2025

作者： Shrestha, Aayam Ghorshi, Seyed Joorabchi, Marjan Panahi, Issa Firouzeh, Fereshteh Fakhar The University of Texas at Tyler Department of Electrical and Computer Engineering TX United States Sharif University of Technology School of Science and Engineering Iran The University of Texas at Dallas Department of Electrical and Computer Engineering TX United States

ISBN: (纸本)9798331506520

Noise as an unwanted interference can significantly degrade speech signals, especially those recorded by many microphones. this interference is modeled as additive noise that originates from a range of sources including White Gaussian Noise (WGN), babble, crowd, large city, and traffic noises. these disturbances can alter the characteristics of speech signals reducing both their quality and intelligibility. this paper introduces a novel approach designed to reduce noise and enhance the quality and intelligibility of speech signals. the proposed method combines wavelet Transform with Adaptive Filters, specifically the Wiener filter and RLS filter. the evaluation process involves testing noisy speech signals under realistic conditions with different signal-to-noise ratios (SNRs) and different types of additive noise. the objective measure is used for evaluation, including the perceptual evaluation of speech quality (PESQ). Results show that combining Wiener or RLS filtering with wavelet Transform significantly improves noise reduction, outperforming the use of wavelet Transform alone. © 2025 IEEE.

关键词： Adaptive filtering

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DTPFN: End-to-End Multi-Source Fusion Detection Network for Robust Performance in Harsh Environments 24

DTPFN: End-to-End Multi-Source Fusion Detection Network for ...

引用

4th International conference on signal processing and Communication Technology, SPCT 2024

作者： Li, Xinliang Sheng, Weixing Zhu, Hairui School of Electronic and Optical Engineering Nanjing University of Science and Technology Jiangsu Nanjing China School of Communication and Artificial Intelligence School of Integrated Circuits Nanjing Institute of Technology Jiangsu Nanjing China

ISBN: (纸本)9798400710636

For fields with high requirements under harsh environments, such as military strikes, defense, and disaster rescue, the performance of traditional single-source image detection methods drops significantly. Moreover, the multi-source image fusion methods are structurally redundant for detection tasks and have a limited scope of application. In this paper, we put forward an end-to-end multi-source fusion detection network. By utilizing the Dual-Source three-Branch Parallel Fusion Network (DTPFN), we achieve full fusion of multi-source features and obtain excellent performance in various environments. Our experimental findings demonstrate that even in the presence of interference within a single source, our proposed approach can still retain a relatively high level of detection accuracy. Additionally, it exhibits remarkable performance in terms of both resource consumption and detection speed. through ablation experiments, we further verify the effectiveness of each module and especially prove the crucial impact of the complementary features of DTPFN on detection performance. the DTPFN can not only fully fuse the features but also be conveniently extended, exhibiting strong potential and holding broad prospects for practical applications. © 2024 Copyright held by the owner/author(s).

关键词： image fusion

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Underwater image Denoising and Enhancement via Diffusion Models and Attention Mechanisms 24

Underwater Image Denoising and Enhancement via Diffusion Mod...

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4th International conference on signal processing and Communication Technology, SPCT 2024

作者： Chen, Wei Gong, Chengxin Liu, Yanghe Wu, Bodong Zhu, Minrui Moscow State University Moscow Russia Shenzhen MSU-BIT University Guangdong Shenzhen China

ISBN: (纸本)9798400710636

Underwater images are widely used in marine science, ocean engineering, and underwater robotics. However, challenges such as insufficient lighting, scattering, and absorption often degrade image quality, limiting their effectiveness. To address this, we propose AquaDiffusionNet, a model combining Diffusion Models and Attention Mechanisms for underwater image denoising and enhancement. Built on the U-Net architecture, it removes complex noise using diffusion models and captures critical features through multi-head attention mechanisms. AquaDiffusionNet achieves simultaneous denoising and detail enhancement, improving image contrast and clarity. Experiments on public datasets like UIEB show significant performance gains, with PSNR increased by 3.0 dB and SSIM by 0.07, outperforming traditional methods. this model enhances visual quality and provides superior input for subsequent image analysis, driving advancements in underwater vision technology. © 2024 Copyright held by the owner/author(s).

关键词： Underwater imaging

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Generative Vision Hybrid Model Enhancing Realistic Synthetic Media Creation through Advanced image processing Techniques 4

Generative Vision Hybrid Model Enhancing Realistic Synthetic...

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4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： thangamayan, S. Lavaraju, B. Adiyattil, Rini Mujesh, Pranav Hrudhya Nivedin, K.Sai Narasimhan, Lakshmi Saveetha School of Law Saveetha Institute of Medical and Technical Sciences Chennai77 India

ISBN: (纸本)9798331523923

In recent years, synthetic media generation has gained significant attention in areas such as entertainment, gaming, and visual content creation. the Generative Vision Hybrid Model leverages advanced generative architectures and image processing techniques to create highly realistic synthetic media. By integrating StyleGAN with a vision enhancement layer comprising Autoencoder-based Attention and Transformer modules, the model achieves exceptional quality in image synthesis. the dataset underwent robust preprocessing, including wavelet Transform-based Noise Reduction and Adaptive Contrast Enhancement (ACE), ensuring clean and diverse inputs. the model achieved an Inception Score (IS) of 9.5, a Fréchet Inception Distance (FID) of 15.8, and a Structural Similarity Index (SSIM) of 0.94, outperforming existing benchmarks like StyleGAN2. Human evaluators rated the model's output with an average realism score of 4.7/5, highlighting its superior perceptual quality. Additionally, PSNR reached 32.6 dB, demonstrating high fidelity. the results validate the effectiveness of the hybrid model in producing photorealistic synthetic media with fine-grained detail and structural consistency. Future work can extend this approach to multi-modal media synthesis, real-time applications, and ethical watermarking systems to ensure responsible usage. © 2025 IEEE.

关键词： Generative adversarial networks

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Enhancing data security through an integrated approach of multiple key cryptography and steganography in the wavelet domain 4th

Enhancing data security through an integrated approach of mu...

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4th International conference on Computational Methods in Science and Technology, ICCMST 2024

作者： Hashem, Al-Fariji Ahmed Hussein Medvedeva, Marina A. Agbozo, Ebenezer Department of Big Data Analytics and Methods of Video Analysis Ural Federal University Ekaterinburg Russia

ISBN: (纸本)9781032911571

the quantity of data that may be incorporated and the picture quality must be compromised in order to embed data within an image. As a direct result of this increased distortion, the quality of the stego picture that is generated when more data is hidden within a carrier image will decrease. One thing may be taken into consideration is the difficulty of optimizing the process of embedding a substantial amount of data into an image. this article aims to provide an overview of the many methods of picture steganography and to present the several attempts that have been made to achieve image steganography via the use of deep learning and machine learning techniques. this work concluded with several potential directions for future photo steganographic-based deep learning research, and it indicated that these new directions may be investigated soon. the suggested approach ensures that even comparable letters are encrypted differently by encrypting data using a series of pseudorandom keys created from a single 16-bit seed. By using this strategy, the communication is not only more hidden but also safer against attempts at unauthorized decryption. After encryption, matrix encoding, which is made feasible by discrete wavelet transformation, embeds the encrypted data into the high-frequency sub-band of a cover image. the robust Peak signal-to-Noise Ratio (PSNR) readings, which often exceed the 40 dB threshold, attest to the cover picture’s preservation as a result of this steganographic technique. these PSNR values, which exhibit relatively minimal optical distortion, will make the stego-image unnoticeable. In tests of performance, the proposed method demonstrated excellent imper-ceptibility, with PSNR values continuously over 46 dB and a low Bit Error Rate (BER) of around 3%, indicating a high degree of fidelity in the recovered data. © 2025 the Author(s).

关键词： Discrete wavelet transforms

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