Nov 29, 2017 · In this paper, we propose a novel automatic feature selection approach for image colorization within an MRF framework. For each superpixel in ...
More specifically, the proposed algorithm automatically classifies image regions as either uniform or non-uniform, and selects a suitable feature vector for ...
More specifically, the proposed algorithm automatically classifies image regions as either uniform or non-uniform, and selects a suitable feature vector for ...
More specifically, the proposed algorithm automatically classifies image regions as either uniform or non-uniform, and selects a suitable feature vector for ...
This paper proposes a variational approach to determine the most appropriate color for each target superpixel from color candidates, and demonstrates the ...
Image colorization is an important and difficult problem in image processing with various applications including image stylization and heritage restoration.
Example-based Image Colorization via Automatic Feature Selection and Fusion ... Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color ...
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We propose a new model for colorizing grayscale images with a U-Net-like network structure that focus on the connection between global and local features.
Abstract—Image colorization aims to produce a natural look- ing color image from a given grayscale image, which remains a challenging problem. In this paper ...
Example-Based Image Colorization Using Locality Consistent Sparse ...
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This paper proposes a novel example-based image colorization method exploiting a new locality consistent sparse representation and introduces a locality ...