Results 31 to 40 of about 901 (179)
Engineering Reports, Volume 8, Issue 5, May 2026.Maintaining power quality (PQ) and minimizing carbon emissions are crucial for sustainable smart grids, especially with increasing renewable energy integration. This paper proposes a novel method combining Adaptive Q‐Wavelet Transform (AQWT) and Kalman Filtering (KF) to predict PQ disturbances and faults while analyzing their impact on carbon emissions.
Abhishek Raj +9 more
wiley +1 more source
Image Quality Assessment Based on Contourlet and ESD Method
ITM Web of Conferences, 2017 In recent years, the development of the digital image processing promotes the research of the image quality assessment (IQA). A novel metric for full-reference image quality assessment is presented.
Liang Shuang, Wang Guan-Xiang, Sun Lei
doaj +1 more source
Optimized Hybrid Deep Learning‐Based FPGA Accelerators for Denoising of Ultrasound Breast Images
IET Circuits, Devices &Systems, Volume 2026, Issue 1, 2026.This paper introduces a novel image‐denoising technique that integrates a hybrid deep learning (DL) model with a self‐improved orca predation (SOP) strategy. This hybrid model improves denoising performance by integrating a Convolutional Neural Network (CNN) with Bidirectional Long Short‐Term Memory (Bi‐LSTM).
K. Janaki +4 more
wiley +1 more source
Hybrid methods for feature extraction for breast masses classification
Egyptian Informatics Journal, 2018 This paper is focusing on feature extraction methods for malignant masses in mammograms and its classification. It proposes seven texture features for GLCM method and to be applied on sub-images to enhance its performance.
Mohamed A. Berbar
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Multimodal Medical Image Fusion in Spatial‐Transformed Domains
IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.Fusion of multimodal medical images has become an essential reference for clinical diagnosis and a prominent topic in information fusion research. However, balancing the fusion performance with computational efficiency remains a challenging issue. In this paper, we propose an effective and efficient hybrid fusion method for multimodal medical images ...
Yisheng Rong +5 more
wiley +1 more source
Journal of Applied Mathematics, 2012 Spatial images are inevitably mixed with different levels of noise and distortion. The contourlet transform can provide multidimensional sparse representations of images in a discrete domain.
Pengcheng Han, Junping Du
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A Real‐Time Semantic Segmentation Network with Boundary‐Focused and Multi‐Scale Context Fusion
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes BFMSNet, a lightweight real‐time semantic segmentation network designed to enhance boundary precision and multi‐scale context understanding. The model integrates a boundary refinement module, a hybrid boundary loss, and a lightweight multi‐scale fusion module based on wavelet convolution, achieving competitive accuracy and real‐time
Shan Zhao +4 more
wiley +1 more source
A Case Study on Contourlet and Ridgelet in Denoising Medical Images
Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ, 2013 A special member of the transforming of multiscale in the frequency domain has been proposed and developed in the last few years ago. We mention here some transformations after X-let generation such as: Ridgelet, Contourlet, Bandelet [1,2,3,4 ...
Trương Hoàng Vinh
doaj
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose MSFE‐Net, an algorithm for multi‐focus image fusion that combines gradient‐aware multi‐scale feature enhancement, focus‐reliability attention based on local‐variance statistics, and an enhanced spatial frequency fusion strategy using four‐directional gradients with local context and morphological refinement to produce robust decision maps ...
Haifeng Gong +7 more
wiley +1 more source
Skewed alpha-stable distribution for natural texture modeling and segmentation in contourlet domain
EURASIP Journal on Image and Video Processing, 2019 Texture modeling is a very useful tool in image analysis. This model can be used in texture segmentation, denoising or texture synthesis. In this work, alpha-stable distribution has been proposed to model and segment textured images in contourlet domain.
Katayoon Sarafrazi, Mehran Yazdi
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