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Image dehazing via gradient response and bright region adjustment
The presence of atmospheric haze severely compromises image clarity, contrast, and detail, leading to perceptual confusion for humans and adversely...
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Gradient domain weighted guided image filtering
Guided image filter is a well-known local filter in image processing. However, the presence of halo artifacts is a common issue associated with this...
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Facial depth forgery detection based on image gradient
With the widespread application of deep learning, many artificially generated fake images and videos appear on the Internet. However, it is difficult...
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Multi-scale gradient wavelet-based image quality assessment
The quality of images is always at stake due to the abundant compression, transferring, and processes done on them. Each of which brings about its...
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Iterative and mixed-spaces image gradient inversion attack in federated learning
As a distributed learning paradigm, federated learning is supposed to protect data privacy without exchanging users’ local data. Even so, the gradient...
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Complex Gradient Function Based Image Descriptor
Local feature descriptors are widely employed to describe local properties of image patches when constructing a discriminative visual representation...
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Edge-aware image smoothing via weighted sparse gradient reconstruction
Edge-ware image smoothing, which aims at removing fine details while respecting salient edges, is a prevalent topic in the field of computational...
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EGNet: enhanced gradient network for image deblurring
In recent years, convolutional neural networks have been increasingly developed in the field of image deblurring. However, there are still many...
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Second-Order Gradient Loss Guided Single-Image Super-Resolution
With the development of deep learning, convolutional neural networks for single-image super-resolution have been proposed and achieved great success....
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A gradient fusion-based image data augmentation method for reflective workpieces detection under small size datasets
Various of Convolutional Neural Network-based object detection models have been widely used in the industrial field. However, the high accuracy of...
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Giza pyramids construction algorithm with gradient contour approach for multilevel thresholding color image segmentation
Segmentation is an essential processing step in computer vision. As a popular method in image segmentation, the pivotal of multilevel thresholding...
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Enhancing retinal fundus image classification through Active Gradient Deep Convolutional Neural Network and Red Spider Optimization
Retinal fundus image classification is pivotal for the early detection of various eye disorders. Leveraging advancements in deep learning, this...
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Weighted sparse gradient reconstruction model with a robust fidelity for edge-aware image smoothing
Smoothing out image details while preserving the salient edges is of significance to the field of computational photography. In this paper, we...
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Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising
We consider the problem of denoising with the help of prior information taken from a database of clean signals or images. Denoising with variational...
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Semantic and Gradient Guided Scene Text Image Super-Resolution
Scene text image super-resolution (STISR) aims to improve image quality and enhance downstream recognition tasks. Although recent works has made...
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A hybrid sampling and gradient attention network for compressed image sensing
Block compressed sensing (BCS), which is widely used in compressed image sensing (CIS), brings the advantages of lower complexity for sampling and...
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Underwater image restoration using oblique gradient operator and light attenuation prior
Underwater captured images are often degraded with low contrast, color distortion, and poor visibility caused by absorption and scattering when light...
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Attention-enhanced UNet and gradient boosting decision tree for objective evaluation of fabric pilling grade based on image analysis
Fabric pilling can significantly affect the usability and appearance of fabrics; making the evaluation of pilling grades a crucial aspect of textile...
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ICWGAN-GP: an image fusion method based on infrared compensator and wasserstein generative adversarial network with gradient penalty
The existing Generative adversarial network (GAN)-based infrared (IR) and visible (VIS) image fusion methods mainly used multiple discriminators to...
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Gradient-based multi-focus image fusion using foreground and background pattern recognition with weighted anisotropic diffusion filter
The goal of multi-focus image fusion (MFIF) is to create a single, unified image from multiple images of the same scene with varying depths of focus...
