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Human-oriented video retargeting via object detection and patch decision
In this study, we suggest a novel video retargeting approach by considering the essential factors of a video: main object and movement thereof. Such...
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Image Quality Assessment with Local Contrast Estimator
In this paper, a simple, yet effective no-reference image sharpness index for both local and global image sharpness assessment is calculated as the...
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Blind visual quality assessment for super-resolution images: database and model
Image super-resolution (SR) algorithms are placed on high hope to reconstruct ultra-high-definition (UHD) videos from existing low-resolution videos....
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Underwater Image Enhancement and Restoration Techniques: A Comprehensive Review, Challenges, and Future Trends
Underwater optical images serve as crucial carriers and representations of ocean information. They play a vital role in the field of marine...
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Medical image fusion based on transfer learning techniques and coupled neural P systems
Medical image fusion is an essential task for clinical diagnosis because it allows physicians to make more accurate diagnoses. Up to now, many...
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Depth context aggregation network for camouflaged object detection
Camouflaged object detection (COD) intends to find concealed objects hidden in the surroundings. COD is challenging for it has to discriminate the...
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Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality
There are different movements of AUV based on the design and if the AUV glides up and down underwater, so the images captured by the AUV cameras are...
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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty...
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Image Super-Resolution with Deep Variational Autoencoders
Image super-resolution (SR) techniques are used to generate a high-resolution image from a low-resolution image. Until now, deep generative models...
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SIE: infrared and visible image fusion based on scene information embedding
In this article, we proposed an infrared and visible image fusion method based on scene information embedding, which is to obtain an fused image with...
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Multimodal Biomedical Image Fusion Techniques in Transform and Spatial Domain: An Inclusive Survey
Image of similar object can be taken by using several modalities at same/different time and in various environmental conditions. The human perception...
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Scheme for palimpsests reconstruction using synthesized dataset
This paper presents P alimpsest M anuscripts R econstruction G enerative A dversarial N etwork, a novel framework for restoring the original forms of input...
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Multi-frame spatio-temporal super-resolution
Increasing the resolution of digital images and videos using digital super-resolution (SR) techniques has been of great interest in industry and...
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Experiments in evolutionary image enhancement with ELAINE
Image enhancement is an image processing procedure in which the image’s original information is refined, for example by highlighting specific...
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Image Derain Method for Generative Adversarial Network Based on Wavelet High Frequency Feature Fusion
Photos taken on rainy days can be affected by rain streaks that reduce the sharpness of the image. Due to insufficient attention on feature...
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Multi-channel attribute preservation for face de-identification
The advancement of computer vision and surveillance devices has underscored the significance of safeguarding privacy in facial images and videos,...
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FetMRQC: Automated Quality Control for Fetal Brain MRI
Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal...
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Underwater image enhancement method based on a cross attention mechanism
Underwater image enhancement is a technique that improves the quality of underwater images, which makes them clearer and more realistic. However,...
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Efficient underwater image restoration utilizing modified dark channel prior
An effective algorithm called Modified Underwater Dark Channel Prior (MUWDCP) based on the image prior for haze removal in underwater images is...
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Multiple subcellular localization combined 3DCellCapUnet model with label-free cell imaging method
Localization of heterogeneous subcellular structures using label-free 3D cell imaging is crucial for understanding gene expression, cell...
