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Detail Design
This chapter provides an introduction to the detail design process. Various computer tools available for design development and evaluation are... -
Single image detail enhancement via metropolis theorem
Traditional image detail enhancement is local filter-based or global filter-based. In both approaches, the original image is first divided into the...
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Image Neural Network Classifier by Detail Attributes
AbstractThe paper presents the features of the development of a neural network analyzer of image detail. The neural network analyzer is a binary...
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Detail Feature Inpainting of Art Images in Online Educational Videos based on Double Discrimination Network
In order to improve the image detail restoration effect of online education videos and improve the quality of online education images, a method for...
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DCBFusion: an infrared and visible image fusion method through detail enhancement, contrast reserve and brightness balance
Due to the complementary nature of visible and infrared images, they are widely used in image fusion to generate fused images containing more...
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Exploiting local detail in single image super-resolution via hypergraph convolution
Exploiting both local detail features and global correlation information in low-resolution (LR) images is vital for single-image super-resolution...
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Computer-aided visual communication design based on image detail enhancement algorithm
There is a problem of unclear image details in traditional visual communication design, which can affect the effectiveness of the design work. This...
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Visualizing translation dynamics at atomic detail inside a bacterial cell
Translation is the fundamental process of protein synthesis and is catalysed by the ribosome in all living cells
1 . Here we use advances in... -
A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion
Existing deep learning techniques for image fusion either learn image mapping (LIM) directly, which renders them ineffective at preserving details...
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Dtsr: detail-enhanced transformer for image super-resolution
Recently, Transformer has achieved remarkable success in image super-resolution (SR). However, most existing methods adopt the window-based...
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PEN-DS: progressive enhancement network based on detail supplementation for low-light image enhancement
Images captured in low-light environments suffer from severe degradation, which can be unfavorable for human observation and subsequent computer...
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HDRD-Net: High-resolution detail-recovering image deraining network
Image deraining aims to restore the clean scenes of rainy images, which facilitates a number of outdoor vision systems, such as autonomous driving,...
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Multi-space and detail-supplemented attention network for point cloud completion
The sparsity and incompleteness of point clouds generally result in challenges in point cloud analysis. Most existing point cloud completion methods...
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Few-detail image encryption algorithm based on diffusion and confusion using Henon and Baker chaotic maps
This paper presents a solution for the security of few-detail images in real-time applications over open or unsecure networks depending on diffusion...
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Hyperspectral image super-resolution reconstruction based on image partition and detail enhancement
The hyperspectral image (HSI) super-resolution reconstruction has attracted much attention and been used widely in various study fields due to its...
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Structural Models
The goal of structural modelling is to define all signal paths in a system.1 So for every possible signal path, the structural model has to determine... -
Detail-Preserving Multi-exposure Fusion for DR Images of Turbine Blades with Local Contrast Analysis and Exposure Intensity
Digital radiographic imaging technique based on the Digital Detector Array (DDA) plays an essential role in the non-destructive testing of turbine...