This article proposes an integer frequency offset estimation algorithm based on time pilot for digital radio mondiale (DRM) systems. This algorithm fully utilizes pilot symbols and effectively reduces the difficulty a...
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To balance the accuracy and speed of image fusion, a lightweight infrared and visible image fusion algorithm is proposed in this paper. Firstly, to improve the feature extraction capability, ECA attention is introduce...
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In recent years, there has been a growing interest in the development of in vitro models to predict cellular behavior within living organisms. Mathematical models, based on differential equations and associated numeri...
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In spaceborne SAR imageprocessing, focusing algorithms are applied with a uniform altitude throughout the observation area. The uniform altitude assumption shows good performance in most spaceborne SAR systems. Howev...
In spaceborne SAR imageprocessing, focusing algorithms are applied with a uniform altitude throughout the observation area. The uniform altitude assumption shows good performance in most spaceborne SAR systems. However, in the high resolution (<0.5m) SAR systems, the defocusing becomes significant in areas with high topographic variations. This letter proposes a new post refocusing algorithm capable of improving the focusing quality of the image with large rolling terrain. Simulate data of spaceborne SAR system are used to demonstrate the performance of the proposed approach.
Nowadays, posting sarcastic text or visual content on platforms like WhatsApp, Twitter, and Facebook has become a popular style, allowing individuals to avoid directly expressing pessimism, thereby indirectly conveyin...
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ISBN:
(纸本)9798350379860;9798350379877
Nowadays, posting sarcastic text or visual content on platforms like WhatsApp, Twitter, and Facebook has become a popular style, allowing individuals to avoid directly expressing pessimism, thereby indirectly conveying their thoughts or intentions. As more people express their opinions online, the need to develop effective models for accurate multimodal sarcasm detection is growing. However, most existing methods have deficiencies in extracting effective features from non-text modalities, which can result in the neglect of some sarcasm-related contextual information. Additionally, during the fusion phase of different modalities, simply using straightforward feature concatenation may introduce redundant information and noise. To address these challenges, a new model called Dual-Perceiving Network (DPN) was developed. It includes a dual-view perception module, which enables the text modality to fully perceive both the local and global features of the image modality, thereby obtaining context and background information conducive to constructing inconsistencies. Additionally, it employs an adaptive fusion method to effectively reduce the impact of redundant information. Extensive experiments comparing the proposed DPN with other multimodal sarcasm detection methods demonstrate its superior performance on public datasets.
image registration is essential for many platforms such as satellites and missiles to improve positioning accuracy. For Synthetic Aperture Radar (SAR) image registration, robust RIFT based on Radiation-Variation Insen...
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Through the in-depth analysis of artificial neural network algorithm technology, particle swarm algorithm technology, and image matching algorithm, the article briefly analyzes the theoretical principle of the algorit...
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In recent years, generative adversarial networks have been widely used in various image-processing tasks and have shown good performance. Scholars at home and abroad have studied the algorithms and application fields ...
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To address the issues of low contrast and poor visual quality in cold cathode weld defect images, an image enhancement algorithm based on an improved Retinex theory is proposed. First, bilateral filtering is used to r...
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ISBN:
(数字)9798331516550
ISBN:
(纸本)9798331516567
To address the issues of low contrast and poor visual quality in cold cathode weld defect images, an image enhancement algorithm based on an improved Retinex theory is proposed. First, bilateral filtering is used to remove stripe noise in the image. Next, the guided filter in the improved Retinex algorithm is used to estimate the illumination component, thus obtaining the reflection component. The illumination component is processed using contrast-limited adaptive histogram equalization (CLAHE), while the local details of the reflection component are enhanced using an improved Butterworth high-pass filter. The illumination and reflection components are then fused in a proportional manner. Finally, the image is enhanced using an improved homomorphic filter, resulting in the enhanced image. The algorithm's effectiveness is evaluated using subjective and objective assessment methods, with results indicating good image enhancement performance and more visible details.
The proceedings contain 396 papers. The topics discussed include: development of an IoT enabled smart children tracking and monitoring system using map location services;HMLM: an intelligent artificial intelligence as...
ISBN:
(纸本)9798331543617
The proceedings contain 396 papers. The topics discussed include: development of an IoT enabled smart children tracking and monitoring system using map location services;HMLM: an intelligent artificial intelligence assisted strategy to identify UPI frauds based on hybrid Markov learning methodology;data-driven insights into automotive customer complaints: a machine learning approach to predictive analytics;integrating predictive analytics and deep learning for vehicle safety incident forecasting;analyzing the health status of people in rural areas using machine learning algorithms;machine learning based approach using hand gestures for mouse and video control;experimental analysis of artificial intelligence powered adaptive learning methodology using enhanced deep learning principle;a comprehensive analysis of imageprocessing methods for agricultural product quality control;and convolutional neural network-based multi-fruit classification and quality grading with a Gradio interface.
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