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DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
Image color harmonization algorithm aims to automatically match the color distribution of foreground and background images captured in different...
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DGCA: high resolution image inpainting via DR-GAN and contextual attention
The most image inpainting algorithms often have existed problems such as blurred image, texture distortion and semantic inaccuracy, and the image...
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A high-speed feature matching method of high-resolution aerial images
This paper presents a novel corner detection and scale estimation algorithm for image feature description and matching. Inspired by Adaboost’s weak...
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Mixed Gaussian-Impulse noise robust face hallucination via noise suppressed low-and-high resolution space-based neighbor representation
An intelligent surveillance system poses a lot of challenges in the processing of captured noisy low-resolution (LR) images. To defeat such...
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Efficient High-Resolution Image-to-Image Translation Using Multi-Scale Gradient U-Net
Recently, Conditional Generative Adversarial Network (Conditional GAN) has shown very promising performance in several image-to-image translation...
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Computational scatter correction in near real-time with a fast Monte Carlo photon transport model for high-resolution flat-panel CT
In computed tomography (CT), scattering causes server quality degradation of the reconstructed CT images by introducing streaks and cup** artifacts...
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Parallel Reconstruction for High Resolution Multi-frame Solar Speckle Images
The high resolution reconstruction of solar speckle image is an important research issue in the field of astronomical observation. Due to the...
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High-resolution time-frequency representation with generative adversarial networks
Signal representation in time-frequency (TF) domain is valuable in many applications including radar imaging and inverse synthetic aperture radar. TF...
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DIResUNet: Architecture for multiclass semantic segmentation of high resolution remote sensing imagery data
Scene understanding is an important task in information extraction from high-resolution aerial images, an operation which is often involved in remote...
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MANet: An End-To-End Multiple Attention Network for Extracting Roads Around EHV Transmission Lines from High-Resolution Remote Sensing Images
Complete and accurate road network information is an important basis in the detection of EHV transmission lines, and regular updates of road...
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MS-RAFT+: High Resolution Multi-Scale RAFT
Hierarchical concepts have proven useful in many classical and learning-based optical flow methods regarding both accuracy and robustness. In this...
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A Feasibility Study on Translation of RGB Images to Thermal Images: Development of a Machine Learning Algorithm
The thermal image is an important source of data in the fire safety research area, as it provides temperature information at pixel-level of a region....
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L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training
The training process of deep neural networks (DNNs) is usually pipelined with stages for data preparation on CPUs followed by gradient computation on...
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Quality-aware face alignment using high-resolution spatial dependencies
Although CNN-based face alignment algorithms have got promising results. However, their alignment accuracy are still suffer from faces with severe...
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Multi-modal medical image fusion based on densely-connected high-resolution CNN and hybrid transformer
Multi-modal medical image fusion (MMIF) has found wide application in the field of disease diagnosis and surgical guidance. Despite the popularity of...
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Road feature enhancement network for remote sensing images based on DeepLabV3Plus
Extracting road information from complex high-resolution remote sensing images to update road networks has become a focus research field in recent...
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High-Resolution Neural Texture Synthesis with Long-Range Constraints
The field of texture synthesis has witnessed important progresses over the last years, most notably through the use of convolutional neural networks....
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Cloud environment-based super resolution application for thermal images using the new approach TSRGAN+ model
Thermal cameras can be used safely on living things because thermal camera systems provide harmless and contactless imaging. However, thermal cameras...
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Learning conditional photometric stereo with high-resolution features
Photometric stereo aims to reconstruct 3D geometry by recovering the dense surface orientation of a 3D object from multiple images under differing...
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Optimized building extraction from high-resolution satellite imagery using deep learning
Building extraction is very essential in various urban dynamics like disaster management and change detection, finding the estimated population, and...
