Article
Mathematics
Xiaoyue Cui
Summary: This paper proposes a clothing image database retrieval algorithm based on wavelet transform to improve the accuracy and speed of image retrieval. The algorithm represents the color consistency vector, adjusts the image size, discretizes the image using Hu invariant moment, and utilizes wavelet transform for retrieval.
JOURNAL OF MATHEMATICS
(2022)
Article
Environmental Sciences
Diogo Santos, Tiago Abreu, Paulo A. Silva, Fabio Santos, Paulo Baptista
Summary: A wavelet-based method using a sequence of static images to retrieve bathymetry is proposed. The method generates synthetic images and uses spectral analysis to estimate wave periods, wavelengths, and water depths. The results are validated with model's bathymetry and real case simulations, showing robustness and accuracy in reproducing bathymetry.
Article
Computer Science, Information Systems
Khaldi Amine, Kafi Med Redouane, Moad Med Sayah
Summary: This work proposes a reliable and blind watermarking method for securing medical images exchanged in telemedicine. Medical image watermarking enables accurate patient identification, prevents scan confusion, and minimizes the risk of diagnostic mistakes. The suggested approaches effectively retain a considerable quality of watermarked images, according to experimental results on imperceptibility and robustness, and are resistant against various common attacks.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Maemoona Kayani, M. Mohsin Riaz, Abdul Ghafoor, Fawad Khan
Summary: The rapid growth of multimedia content has raised concerns about data security. To address security issues in content-based image retrieval (CBIR), a novel privacy preserving image retrieval technique is proposed to efficiently retrieve similar images in an encrypted domain.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Haisheng Li, Guiqiong Li, Haiying Xia
Summary: This paper proposes a multi-level three-dimensional quantum wavelet transform theory for quantum video processing. The proposed wavelet transforms provide exponential speed-up over classical counterparts and demonstrate better compression performance for quantum videos.
FRONTIERS OF COMPUTER SCIENCE
(2023)
Article
Microscopy
Fumihiko Uesugi
Summary: I developed a novel image processing method using a concentric mother wavelet inspired by wavelet transform. This method is effective for filtering noise, extracting features, enhancing images, and other applications, particularly for images with low spatial frequencies. Unlike Fourier filtering, the proposed method does not require mask setting, making it easier for filtering small-sized images. By preparing concentric mother wavelets of different frequencies in advance and calculating the cross-correlation between the input image and these wavelets, reconstruction or image processing can be easily performed. The present method has the potential to aid image processing related to material analysis.
Article
Computer Science, Artificial Intelligence
Jun-Jie Huang, Pier Luigi Dragotti
Summary: The proposed WINNet method combines the advantages of wavelet-based methods and learning methods for image denoising, containing LINNs, sparse coding denoising, noise estimation networks, etc. By implementing nonlinear redundant transforms, sparse coding, and adaptively adjusting soft thresholds, WINNet method demonstrates strong generalization ability across different noise levels.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Engineering, Mechanical
Xiaoqiang Zhang, Zhiwei Liu, Xiaochang Yang
Summary: In order to improve the security of image encryption, a two-dimensional Fibonacci combined with cubic and sine map (2D-FCSM) and a pseudo-wavelet transform (PWT) are designed. The proposed image encryption algorithm using 2D-FCSM and PWT shows desirable encryption effect, strong security, and high encryption efficiency.
NONLINEAR DYNAMICS
(2023)
Review
Physics, Multidisciplinary
Rodrigo Capobianco Guido
Summary: Wavelet-based analyses have made remarkable achievements in physics and related sciences. However, many people still misunderstand the fundamentals of wavelets. This article provides clear explanations of different types of wavelet transforms and their applications, helping readers to effectively utilize wavelets in their research.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2022)
Article
Computer Science, Information Systems
Xiangyu Zhao, Peng Huang, Xiangbo Shu
Summary: This paper investigates the issues in feature learning methods based on CNN and proposes a new module based on wavelet attention for image classification. Experimental results demonstrate significant improvements in accuracy using this approach.
MULTIMEDIA SYSTEMS
(2022)
Article
Engineering, Civil
Arash Adib, Arash Zaerpour, Ozgur Kisi, Morteza Lotfirad
Summary: This study demonstrates the application of wavelet transform and artificial intelligence models in retrieving snow depth from microwave imager sounder data. The combination of WP and ANFIS showed the best performance in improving the accuracy of snow depth evaluation.
WATER RESOURCES MANAGEMENT
(2021)
Article
Quantum Science & Technology
Yiming Yu, Jie Gao, Xiaoyi Mu, Shumei Wang
Summary: In this paper, a novel scheme for quantum image watermarking based on NEQR is proposed, which can embed a 2(n-1) x 2(n-1) binary watermark image into a 2(n) x 2(n) grayscale carrier image. The embedded image is highly consistent with the carrier image after restoration by only embedding the least significant bits of the diagonal details of the carrier image with the watermark information. The proposed watermarking method is confirmed to be invisible and robust through simulation techniques.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Wei Zhao, Cai Xu, Ziyu Guan, Xunlian Wu, Wanqing Zhao, Qiguang Miao, Xiaofei He, Quan Wang
Summary: The paper focuses on using user-tagged images to learn proper hashing functions for image retrieval, proposing a novel weakly-supervised deep hashing framework. By training in two stages, it effectively leverages tagging information and image content for hashing learning.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Mathematics, Applied
Rima Alaifari, Francesca Bartolucci, Matthias Wellershoff
Summary: We investigate the recovery of square-integrable signals from the absolute values of their wavelet transforms, referred to as wavelet phase retrieval. We introduce a novel uniqueness result for wavelet phase retrieval, demonstrating that any wavelet with a finite number of vanishing moments can uniquely recover real-valued bandlimited signals, albeit without determining the exact global sign. Furthermore, we present the first uniqueness result for sampled wavelet phase retrieval using complex-valued wavelets, and a uniqueness result for phase retrieval from sampled Cauchy wavelet transform measurements.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2023)
Article
Geochemistry & Geophysics
Erting Pan, Yong Ma, Xiaoguang Mei, Fan Fan, Jun Huang, Jiayi Ma
Summary: This study proposes a progressive hyperspectral destriping method with an adaptive frequency focus for accurate destriping and delicate restoration. The method encodes the degraded input to the frequency domain with smaller scales and separates noise and preserves details in the high-frequency domain. The experimental results demonstrate the superiority of the proposed method over the current state-of-the-art methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
