中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Invertible Grayscale

文献类型:期刊论文

作者MENGHAN XIA; XUETING LIU; TIEN-TSIN WONG
刊名ACM Transactions on Graphics
出版日期2018
文献子类期刊论文
英文摘要Once a color image is converted to grayscale, it is a common belief that the original color cannot be fully restored, even with the state-of-the-art colorization methods. In this paper, we propose an innovative method to synthesize invertible grayscale. It is a grayscale image that can fully restore its original color. The key idea here is to encode the original color information into the synthesized grayscale, in a way that users cannot recognize any anomalies.We propose to learn and embed the color-encoding scheme via a convolutional neural network (CNN). It consists of an encoding network to convert a color image to grayscale, and a decoding network to invert the grayscale to color. We then design a loss function to ensure the trained network possesses three required properties: (a) color invertibility, (b) grayscale conformity, and (c) resistance to quantization error. We have conducted intensive quantitative experiments and user studies over a large amount of color images to validate the proposed method. Regardless of the genre and content of the color input, convincing results are obtained in all cases.
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/13560]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
MENGHAN XIA,XUETING LIU,TIEN-TSIN WONG. Invertible Grayscale[J]. ACM Transactions on Graphics,2018.
APA MENGHAN XIA,XUETING LIU,&TIEN-TSIN WONG.(2018).Invertible Grayscale.ACM Transactions on Graphics.
MLA MENGHAN XIA,et al."Invertible Grayscale".ACM Transactions on Graphics (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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