Results 1 to 10 of about 613 (135)
Wavelet-Based Contourlet Transform and Kurtosis Map for Infrared Small Target Detection in Complex Background [PDF]
Sensors, 2020 He Wang, Yunhong Xin
exaly +2 more sources
A Rigid Image Registration Based on the Nonsubsampled Contourlet Transform and Genetic Algorithms [PDF]
Sensors, 2010 Miloud Chikr Elmezouar
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Image Denoising With Contourlet Transform
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Sound causes image degradation during detection, processing, signal processing, and transmission through sound channels. Noise removal is a technique for eliminating noise from photographs. Denoising refers to the process of removing noise from a picture.
Smita Vasant Tempe +1 more
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A New Contourlet Transform with Sharp Frequency Localization [PDF]
2006 International Conference on Image Processing, 2006 The contourlet transform was proposed as a directional multiresolution image representation that can efficiently capture and represent singularities along smooth object boundaries in natural images. Its efficient filter bank construction as well as low redundancy make it an attractive computational framework for various image processing applications ...
Yue M. Lu, Minh N. Do
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Balkan Journal of Electrical and Computer Engineering, 2019 A noiseless image is desirable for many applications. However, this is not possible. Generally, wavelet-based methods are used to noise reduction. However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed.
Muhammet Fatih ASLAN +2 more
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Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
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 Enhancement Using Nonsubsampled Contourlet Transform [PDF]
, 2007 This paper presents a novel technique of image Enhancement which can be widely used in medical and biological imaging to improve the image quality. The principle objective of enhancement is to process an image so that the result is more suitable than the original image for a specific application.
Rafia Mumtaz +2 more
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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
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