Semantic‐aware automatic image colorization via unpaired cycle‐consistent self‐supervised network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22667
Abstract: Automatic image colorization without manual interventions is an ill‐conditioned and inherently ambiguous problem. Most of existing methods focus on formulating colorization as a regression problem and learn parametric mappings from grayscale to color through deep… read more here.
Keywords: semantic aware; automatic image; image colorization; colorization ... See more keywords
An edge-refined vectorized deep colorization model for grayscale-to-color images
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.082
Abstract: Abstract To handle the colorization problem, we propose an edge-refined vectorized deep colorization model. We discuss the reasonable network parameters like the patch size, amount of layers, convolutional kernel size and amount. To improve the… read more here.
Keywords: colorization; edge refined; refined vectorized; model ... See more keywords
Hybrid Scheme of Image’s Regional Colorization Using Mask R-CNN and Poisson Editing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936258
Abstract: Image colorization is a creative process of reasonably adding colors on gray-scale images to generate well-pleasing colorized images. The existing colorization methods normally require user-supplied hints of color points and doodles, or handpicked color reference… read more here.
Keywords: colorized results; colorization; hybrid scheme; color ... See more keywords
From Coarse to Fine (FC2F): A New Scheme of Colorizing Thermal Infrared Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000481
Abstract: Colorization of the thermal infrared image is an unsolved problem because usually there is no one-to-one relationship between an object’s color and its temperature. In this paper, we propose a new colorization scheme to address… read more here.
Keywords: new scheme; colorization; infrared images; thermal infrared ... See more keywords
Double-Channel Guided Generative Adversarial Network for Image Colorization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3055575
Abstract: Image colorization has a widespread application in video and image restoration in the past few years. Recently, automatic colorization methods based on deep learning have shown impressive performance. However, these methods map grayscale image input… read more here.
Keywords: image colorization; colorization; channel guided; double channel ... See more keywords
Progressive Colorization via Iterative Generative Models
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3037690
Abstract: Colorization is the process of coloring monochrome images. It has been widely used in photo processing and scientific illustration. However, colorizing grayscale images is an intrinsic ill-posed and ambiguous problem, with multiple plausible solutions. To… read more here.
Keywords: colorization via; colorization; via iterative; generative models ... See more keywords
Turning Diffusion-Based Image Colorization Into Efficient Color Compression
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2016.2627800
Abstract: The work of Levin et al. (2004) popularized stroke-based methods that add color to gray value images according to a small amount of user-specified color samples. Even though such reconstructions from sparse data suggest a… read more here.
Keywords: color; colorization; image; diffusion ... See more keywords
Colorization Using Neural Network Ensemble
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2740620
Abstract: This paper investigates into the colorization problem, which converts a grayscale image to a colorful version. This is a difficult problem and normally requires manual adjustment to achieve artifact-free quality. For instance, it normally requires… read more here.
Keywords: color; colorization; image; network ... See more keywords