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Security and Privacy Preservation in Smart Cities During Security Surveillance: A Mapping Study
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.As smart cities have evolved through the constant incorporation of advanced technologies such as Internet of Things, the importance of efficient data collection and robust security monitoring has increased massively. These smart cities, while monitoring and evaluating different activities, utilize a network of interconnected sensors and devices.
Fatima Tariq +6 more
wiley +1 more source
Improved abdominal T1 weighted imaging at 0.55T
Magnetic Resonance in Medicine, Volume 92, Issue 6, Page 2580-2587, December 2024.Abstract Purpose Breath‐held fat‐suppressed volumetric T1‐weighted MRI is an important and widely‐used technique for evaluating the abdomen. Both fat‐saturation and Dixon‐based fat‐suppression methods are used at conventional field strengths; however, both have challenges at lower field strengths (<1.5T) due to insufficient fat suppression and/or ...
Bilal Tasdelen +3 more
wiley +1 more source
Prior-enlightened and Motion-robust Video Deblurring
, 2020 Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed. Most existing works have strong dataset dependency and limited generalization ability in handling challenging scenarios, like blur in low contrast or severe motion areas, and non ...
Zhou, Ya +4 more
openaire +2 more sources
Domain-Adaptive Video Deblurring via Test-Time Blurring
ECCV ...
He, Jin-Ting +6 more
openaire +2 more sources
Video Deblurring by Fitting to Test Data
, 2020 Project Page: https://github.com/xrenaa/Deblur-by ...
Ren, Xuanchi, Qian, Zian, Chen, Qifeng
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Blur-Aware Spatio-Temporal Sparse Transformer for Video Deblurring
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Video deblurring relies on leveraging information from other frames in the video sequence to restore the blurred regions in the current frame. Mainstream approaches employ bidirectional feature propagation, spatio-temporal transformers, or a combination of both to extract information from the video sequence.
Zhang, Huicong +2 more
openaire +2 more sources
DIVD: Deblurring with Improved Video Diffusion Model
Video deblurring presents a considerable challenge owing to the complexity of blur, which frequently results from a combination of camera shakes, and object motions. In the field of video deblurring, many previous works have primarily concentrated on distortion-based metrics, such as PSNR. However, this approach often results in a weak correlation with
Long, Haoyang, Wang, Yan, Wang, Wendong
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VDPI: Video Deblurring with Pseudo-inverse Modeling
Video deblurring is a challenging task that aims to recover sharp sequences from blur and noisy observations. The image-formation model plays a crucial role in traditional model-based methods, constraining the possible solutions. However, this is only the case for some deep learning-based methods.
Huang, Zhihao +2 more
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Advancements in Video Deblurring: A Comprehensive Review
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVideo deblurring is a critical task in computer vision, aimed at restoring the clarity of videos distorted by motion blur or other factors. It holds immense importance across various domains, including surveillance, entertainment, medical imaging, and autonomous driving, where clear visual information is crucial for decision-making and analysis.
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Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]
Sensors (Basel)Guo Y, Ma L, Zhang Y.
europepmc +1 more source