Invertible Color-to-Grayscale Conversion by Using Clustering and Reversible Watermarking
| Autor: | Qiaoyi Liang, Runwen Hu, Shijun Xiang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Color image
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Palette (computing) Grayscale law.invention Invertible matrix law Embedding Computer vision Artificial intelligence business Cluster analysis Digital watermarking ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | 2021 IEEE International Conference on Multimedia and Expo (ICME). |
| DOI: | 10.1109/icme51207.2021.9428464 |
| Popis: | Invertible color-to-grayscale conversion is a method that embeds the color information into the corresponding grayscale image and extracts the color information to reconstruct the color image when necessary. In this paper, we propose an efficient method by using K-means clustering to generate a color palette and its corresponding grayscale image, and further making use of a reversible watermarking technique to embed the color palette into the grayscale image. For purpose of integrality authentication, the grayscale image is hashed as part of the embedded information before the embedding. In the process of reconstructing the color image, the color palette can be extracted correctly and the grayscale image can be recovered without any loss. Experimental results have shown that the proposed method can provide satisfactory performance. |
| Databáze: | OpenAIRE |
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