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Local look-up table upsampling for accelerating image processing
The resolution of cameras is increasing, and speedup of various image processing is required to accompany this increase. A simple way of acceleration...
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Towards domain adaptation underwater image enhancement and restoration
Currently, deep convolutional neural networks have made significant research progress in the field of underwater image enhancement and restoration....
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Image and Object Geo-Localization
The concept of geo-localization broadly refers to the process of determining an entity’s geographical location, typically in the form of Global...
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Blind image—variant based authentication method
There is a plethora of image authentication techniques in the literature. Almost all of these methods use either a form of watermarking or data...
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A digital image processing tool for characterizing dendritic trunks
The formation of tree-like dendritic structures is ubiquitous in many natural and industrial processes. These multi-scale structures manifest complex...
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Cross-propagation parallel network for reflection image inpainting
The development of deep learning has led to great advances in image reflection removal techniques. Most existing image reflection removal methods can...
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Single image dehazing enhancement based on retinal mechanism
Based on the hierarchical transmission and interaction response characteristics of visual information in retina, we propose a single image dehazing...
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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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A novel highland and freshwater-circumstance dataset: advancing underwater image enhancement
As an important underlying visual processing task, underwater image enhancement techniques have received a lot of attention from researchers due to...
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Discriminative feature encoding for intrinsic image decomposition
Intrinsic image decomposition is an important and long-standing computer vision problem. Given an input image, recovering the physical scene...
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Intermediate-term memory mechanism inspired lightweight single image super resolution
The essence of the Single Image Super Resolution (SISR) task revolves around learning and memorizing the map** relationship between low-resolution...
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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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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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Csf: global–local shading orders for intrinsic image decomposition
Intrinsic image decomposition faces the long-standing challenge from the coupling of the components of the image-the surface albedo, direct...
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Image interpolation with spiking neural network based pixel similarity
Image interpolation is an important topic in the field of image processing. It is defined as the process of transforming low-resolution images into...
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Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep...
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Pullikolam assisted medical image watermarking on reconfigurable hardware
This paper proposes that Pullikolam influenced medical image watermarking on Field Programmable Gate Array (FPGA). This watermarking scheme undergoes...
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Nonparametric K-means clustering-based adaptive unsupervised colour image segmentation
Image segmentation focuses at highlighting region of interest within the image, by accumulation of pixels based on given properties. This task...
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Multimodal image fusion on ECG signals for congestive heart failure classification
The electrocardiogram, or ECG, records electrical signals from the heart to detect various heart conditions. It helps in the diagnosis of important...
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Zero-reference single underwater image enhancement
Underwater images play an essential role in acquiring and analyzing underwater information. Autonomous Underwater Vehicles (AUVs) highly rely on the...
