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Underwater image enhancement using scale-patch synergy transformer
In the past few years, underwater image enhancement has attracted an increasing amount of research work because it plays an important role in...
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Optimal image Denoising using patch-based convolutional neural network architecture
Traditional CNN uses fixed location which is irrelevant and they show the inability to capture edges and texture which causes the smoothness of...
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PSC diffusion: patch-based simplified conditional diffusion model for low-light image enhancement
Low-light image enhancement is pivotal for augmenting the utility and recognition of visuals captured under inadequate lighting conditions. Previous...
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Objective detection of shear distortion of low-light-level image intensifier based on global scanning and image patch edge feature analysis
Shear distortion is the defect brought in the manufacturing stage of optical fiber panel of low-light-level (LLL) image intensifier. The traditional...
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Asphalt pavement patch identification with image features based on statistical properties using machine learning
Finding patches is a crucial step in a pavement performance survey. The study develops a machine learning and image processing algorithm-established...
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Multi-patch Adversarial Attack for Remote Sensing Image Classification
Deep Neural Networks (DNNs) have shown excellent image classification performance both in accuracy and efficiency. Therefore, it is of great value to...
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Visible-infrared image patch matching based on attention mechanism
Image matching has a wide range of applications in computer vision. Existing image matching is mostly used for homologous images. In the matching of...
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Multi-scale patch-GAN with edge detection for image inpainting
Image inpainting with large missing blocks is quite challenging to obtain visual consistency and realistic effect. In this paper, the multi-scale...
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Improving Image Segmentation with Boundary Patch Refinement
Tremendous efforts have been made on image segmentation but the mask quality is still not satisfactory. The boundaries of predicted masks are usually...
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NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers
In the field of nanoscience, the scanning electron microscope (SEM) is widely employed to visualize the surface topography and composition of...
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Weakly Supervised Image Matting via Patch Clustering
Image matting aims to extract the accurate foreground opacity mask for a given image. State-of-the-art approaches are usually based on...
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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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ADMM optimizer for integrating wavelet-patch and group-based sparse representation for image inpainting
Recovery or filling in of missing pixels in damaged images is a challenging problem known as image inpainting. Many currently used techniques still...
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Edge-preserving image denoising using noise-enhanced patch-based non-local means
Preserving edges while denoising an image is a crucial and challenging necessity. In this paper, a noise-aided edge-preserving denoising algorithm is...
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Joint patch clustering-based adaptive dictionary and sparse representation for multi-modality image fusion
For the image fusion method using sparse representation, the adaptive dictionary and fusion rule have a great influence on the multi-modality image...
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Morphology and EMD-Based Patch-Wise Image Fusion
The process of integrating various source photos into a single image that is more informative than all the source images is known as image fusion. It...
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Deep Multi-task Image Clustering with Attention-Guided Patch Filtering and Correlation Mining
Deep Multi-task image clustering endeavors to leverage deep learning techniques for the simultaneous processing of multiple clustering tasks. Current...
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Single image defocus map estimation through patch blurriness classification and its applications
Depth information is useful in many image processing applications. However, since taking a picture is a process of projection of a 3D scene onto a 2D...
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DPG: a model to build feature subspace against adversarial patch attack
Adversarial patch attacks in the physical world are a major threat to the application of deep learning. However, current research on adversarial...
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Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
Unsupervised image transfer enables intra- and inter-modality image translation in applications where a large amount of paired training data is not...