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Image and Video Color Editing
This book covers image and video color editing research advances over the last two decades. Bringing readers up to speed on digital image and video...
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A color edge extraction method on color image
In the field of medical image recognition, industrial defect detection and other fields, because it is impossible to extract the edge of the color...
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Background Color and Image
One of the missing elements in the dinosaur game that we started to create in the previous chapter is a good background for our game. For this, we...
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An enhanced AMBTC for color image compression using color palette
Digital image has been used in various fields as an essential carrier. Many color images have been constantly produced since their more realistic...
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An integrated enhancement method to improve image visibility and remove color cast for sand-dust image
Sand-dust color images suffer from poor image visibility and serious color cast that significantly affect the performance of outdoor computer vision...
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DICNet: achieve low-light image enhancement with image decomposition, illumination enhancement, and color restoration
Low-light image enhancement (LLIE) is mainly used to restore image degradation caused by environmental noise, lighting effects, and other factors....
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Research on chaos of product color image system driven by brand image
Chaos means innovation in the field of design. Meanwhile, the product image system is not only a quantified ‘formula’ between product and...
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Underwater image sharpening and color correction via dataset based on revised underwater image formation model
Underwater images bring about substantial information to many tasks regarding marine science or coastal engineering. Meanwhile, enhancement of...
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Attention-based color consistency underwater image enhancement network
Underwater images often exhibit color deviation, reduced contrast, distortion, and other issues due to light refraction, scattering, and absorption....
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Efficient color image encryption by color-grayscale conversion based on steganography
Traditional image encryption algorithms usually aim to encrypt the RGB channels of color plain images separately. In this paper, a novel dimension...
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Staged Transformer Network with Color Harmonization for Image Outpainting
Image outpainting aims at generating new looking-realistic content beyond the original boundaries for a given image patch. Existing image outpainting...
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Color image-guided very low-resolution depth image reconstruction
Deep learning-based image super-resolution research allows reconstruction of detailed images from low-resolution images in a short time. However, the...
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Nonlinear DIP-DiracVTV Model for Color Image Restoration
Variational models for inverse problems are mainly based on the choice of the regularizer, whose goal is to give the solutions some desirable...
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Nonlinear L \(^2\) -DiracVTV Model for Color Image Restoration
Variational models for inverse problems are mainly based on the choice of the regularizer, whose goal is to give the solutions some desirable...
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Digital image color analysis method to extract fashion color semantics from artworks
Color in artworks is an inspirational source for fashion designers. Product color is a fundamental design element to stimulate customers' emotional...
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Underwater image enhancement algorithm based on color correction and contrast enhancement
Due to the complex underwater environment and the selective absorption and scattering effect of water on light waves, underwater images often suffer...
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Image recoloring for color vision deficiency compensation using Swin transformer
People with color vision deficiency (CVD) have difficulty in distinguishing differences between colors. To compensate for the loss of color contrast...
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Image Recoloring for Color Blindness Considering Naturalness and Harmony
Despite the existence of numerous methods for recoloring images with diverse effects, challenges such as unnatural and inharmonious colors of the...
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CFA image compression using an efficient cascaded overlap** color transformation
Bayer Color-Filter-Array (CFA) is commonly used in single-chip digital image sensors as it efficiently approximates the physiology of the human eye....
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Hierarchical contrastive learning and color standardization for single image sand-dust removal
Convolutional neural networks (CNN) have demonstrated impressive performance in reconstructing images in challenging environments. However, there is...
