Journal of Real-Time Image Processing

Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset, requiring substantial computational resources for training. Due to the limited computational resources ...

Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards at the cost of significant increase in computational complexity. Motion estimation (ME) is the ...

Traffic sign recognition, as one of the key steps of intelligent driving technologies, effectively avoids most traffic accidents by detecting the location and type of traffic signs in real time and providing the information to drivers or ...

Real-time road damage detection and assessment is crucial to ensure road safety. Traditional road damage detection methods mostly rely on manual labor, which is not only inefficient, but it is also difficult to guarantee its reliability. In this ...

The accuracy of the original YOLOv5 algorithm in detecting whether power company employees are wearing helmets is low due to the complex monitoring scenarios in the power warehouse and the small size of the helmets. As a result, it cannot be ...

The detection of underground personnel is one of the key technologies in computer vision. However, this detection technique is susceptible to complex environments, resulting in low accuracy and slow speed. To accurately detect underground coal ...$\mathrm{}$$\mathrm{}$$\mathrm{}$

Aiming at the problems of insufficient feature fusion, large number of network parameters and low target saliency in the current digital meter detection algorithm, a digital meter detection algorithm based on YOLOv5s is designed. First, a new ...

Crowded object detection under the heavy traffic environment is always a challenging task in the field of autonomous driving and robotics, because the dense gathering of vehicles or pedestrians inevitably bring heavy occlusion. It is difficult to ...

JPEG XS is the latest international standard for shallow compression fields launched by the International Organization for Standardization (ISO). The coding standard was officially released in 2019. The JPEG XS standard can be encoded and decoded ...

In certain healthcare settings, such as emergency or critical care units, where quick and accurate real-time analysis and decision-making are required, the healthcare system can leverage the power of artificial intelligence (AI) models to support ...

In numerous robotic and autonomous driving tasks, traditional visual SLAM algorithms estimate the camera’s position in a scene through sparse feature points and express the map by estimating the depth of sparse point clouds. However, practical ...

The current target detection algorithm based on deep learning has many redundant convolution calculations, which are difficult to apply to low-energy mobile devices, such as intelligent inspection robots and automatic driving. To solve this ...

Real-time semantic segmentation poses a significant challenge in scene parsing. Despite traditional semantic segmentation networks have made remarkable leap-forwards in semantic accuracy, the performance of inference speed remains unsatisfactory. ...

Aiming at the problem of difficult operation and maintenance of PV power plants in complex backgrounds and combined with image processing technology, a method for detecting hot spot defects in infrared image PV panels that combines segmentation ...

Ensuring data security and integrity is crucial for achieving the highest level of protection and performance in modern cyber-physical systems (CPS). Authenticated encryption with associated data (AEAD) is an efficient and secure way to encrypt ...

Owing to the intricate and ever-changing nature of the marine environment, traditional marine survey methods are subject to numerous limitations. Unmanned surface vehicles (USVs) have gained significant popularity for their role in automatically ...

Existing single-stream tracking pipelines achieve good performance improvements by joint feature extraction and interaction. These tracking pipelines establish a bidirectional information flow between the template frame and the search frame, using ...

The You Only Look Once (YOLO) algorithm has a good trade-off between accuracy and execution speed in object detection. The main bottleneck of execution speed in YOLO is the optimum implementation of the Convolutional Neural Network (CNN). Reducing ...

Automated nucleus segmentation is considered the gold standard for diagnosing some severe diseases. Accurate instance segmentation of nuclei is still very challenging because of the large number of clustered nuclei, and the different appearance of ...

In recent years, the performance of real-time semantic segmentation has increasingly become a research focus for real-time applications such as autonomous driving. Although large deep models have excellent segmentation results, their inference ...

In this paper, a marker and its real-time tracking method are proposed. Different from existing technologies that recognize the markers by spatial event features, which lead to many practical problems, we discover the possibility of using temporal ...

Recently, the neural networks with convolution computation is widely used for image classification and recognition. For real-time implementation, the video buffer is required to store the image temperately. However, traditional buffers like CLSB (...

Images captured in environments with poor lighting conditions often suffer from insufficient brightness, significant noise, and color distortion, which is highly detrimental to subsequent high-level vision tasks. Low-light image enhancement ...

To address the issues of complex algorithm models, poor accuracy, and low real-time performance in the coal industry's coal gangue sorting, a lightweight real-time detection method called YOLOv8s-GSC is proposed based on the characteristics of ...

Detecting small objects is a challenging task in computer vision due to the objects only occupying a limited number of pixels and having blurred contours. These factors result in minimal discriminative features being available to effectively model ...

This manuscript proposes a low-power and high-speed hybrid approximate multiplier using 15-4 approximate compressors in partial product stage for image processing application. Initially, the most significant bits (MSB) of approximate multiplier is ...

Stereo matching is an important method in computer vision for simulating human binocular vision to acquire spatial distance information. Implementing high-precision and real-time stereo-matching algorithms on hardware platforms with limited ...

In the context of emergency response applications, real-time situational awareness is vital. Unmanned aerial vehicles (UAVs) with imagers have emerged as crucial tools for providing timely information in such scenarios. Convolutional neural ...

In this paper, we propose a underwater target detection method that optimizes YOLOv8s to make it more suitable for real-time and underwater environments. First, a lightweight FasterNet module replaces the original backbone of YOLOv8s to reduce the ...${}_{\mathrm{}}$

Foggy weather reduces the quality of video capture and seriously affects the normal work of video surveillance, remote sensing monitoring, and intelligent driving. Many methods have been proposed to remove video haze. However, under the premise of ...