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An ensemble mosaicing and ridgelet based fusion technique for underwater panoramic image reconstruction and its refinement
Water is an integral part of the reproduction of flora and fauna and covers almost 71.4% of the Earth’s surface area. It undergoes various chemical,...
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Fuzzy Vector Representation of Project Metrics’ Target and Actual Values and Its Application to Project Management
Metrics based project management is seen today as a highly effective and efficient approach to project management, mainly thanks to the personalized...
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Image inpainting via multi-resolution network with Fourier convolutions
Image inpainting has been a trending topic among researchers in recent years, which aims to fill missing areas in images while maintaining visual and...
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Privacy Protection Against Shoulder Surfing in Mobile Environments
Smartphones and other mobile devices have seen an unprecedented rise in use among consumers. These devices are widely used in public locations where...
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QR code recognition based on HOG and multiclass SVM classifier
QR codes are often placed on complex backgrounds and under unstable illumination conditions, which in fact renders their localization and decoding...
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Tiny Person Pose Estimation via Image and Feature Super Resolution
Although great progress has been achieved on human pose estimation in recent years, we notice the performance drops dramatically when the scale of...
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Jointly adversarial networks for wavelength compensation and dehazing of underwater images
Severe color casts, low contrast, and blur of underwater images caused by light absorption and scattering result in a challenging task for exploring...
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DIBS: distance- and intensity-based separation filter for high-density impulse noise removal
Noise is an unwanted element that degrades the quality of digital images. Salt and pepper noise is a type of noise that is introduced in one or more...
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Effective hybridization approach for noise removal in magnetic resonance imaging
Medical image processing generally contains high components of noise produced by interference, compression and use of imperfect instrument during...
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Understanding Seniors’ Strategies for Identifying Deepfakes
Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to...
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A contrastive learning-based iterative network for remote sensing image super-resolution
Many deep convolutional neural network(CNN)-based methods have achieved significant success in noise-free image super-resolution(SR) tasks. However,...
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Privacy protection and beautification of cornea images
Thanks to the technological advances, social media has become more popular year by year, especially when it is common to upload selfies to the...
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Near-duplicate detection for LCD screen acquired images using edge histogram descriptor
The expressive ability of digital visual media with the simplicity of their acquisition, processing, distribution, manipulation, and storage is such...
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A Reliable Image Quality Assessment Metric: Evaluation Using Camera Impacts
AbstractImage analysis is being applied in many applications including industrial automation with the Industrial Internet of Things and machine...
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Effective adversarial transfer learning for underwater image enhancement with hybrid losses
Underwater images often suffer from degradation caused by light attenuation and turbidity, resulting in poor image quality. Due to the domain gap...
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Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs
Given that a conventional laparoscope only provides a two-dimensional (2-D) view, the detection and diagnosis of medical ailments can be challenging....
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Multi-level Patch Transformer for Style Transfer with Single Reference Image
Despite the recent success of image style transfer with Generative Adversarial Networks (GANs), this task remains challenging due to the requirements...
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Edge-Guided Image Inpainting with Transformer
Image inpainting aims to complete missing regions by extracting the features of the image through the information of the known region. Traditional...
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Research on Multi-scale Pedestrian Attribute Recognition Based on Dual Self-attention Mechanism
As one of the important fields of computer vision research, pedestrian attribute recognition has gained increasing attention from domestic and...
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Biometric Recognition of African Clawed Frogs
The African clawed frog (Xenopus laevis) is a commonly used model organism for cell biological, developmental, and biomedical research. For health...