| Paper ID | D-2-2.2 |
| Paper Title |
CHROMA COMPONENT GENERATION OF GRAY IMAGES USING MULTI-SCALE CONVOLUTIONAL NEURAL NETWORK |
| Authors |
Tien-Ying Kuo, Yu-Jen Wei, Bin-Yen You, National Taipei University of Technology, Taiwan |
| Session |
D-2-2: Recent Advances in Deep Learning with Multimedia Applications |
| Time | Wednesday, 09 December, 15:30 - 17:00 |
| Presentation Time: | Wednesday, 09 December, 15:45 - 16:00 Check your Time Zone |
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All times are in New Zealand Time (UTC +13) |
| Topic |
Image, Video, and Multimedia (IVM): Special Session: Recent Advances in Deep Learning with Multimedia Applications |
| Abstract |
In this paper, we solved the problem of the colorization algorithms using convolutional neural networks. There are existing algorithms predicting chroma components to generate colorization images, but the color of generated images is usually dim and the saturation of them is poor. Thus, we proposed to solve the colorization problem by a pyramid-alike multi-scale convolutional neural networks and convert the color space of image from RGB to HSV to predict the chroma components. Experiments indicate our algorithm can produce colorized images with more accurate color and higher saturation than the existing work. |