1. Multi-domain Reversible Data Hiding in JPEG Images
- Author
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Zhaoxia Yin, Yang Du, Hongnian Guo, Wanli Lv, and Jinmin Hu
- Subjects
Computer science ,business.industry ,Data domain ,Payload (computing) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Data_CODINGANDINFORMATIONTHEORY ,computer.file_format ,JPEG ,Domain (software engineering) ,Image (mathematics) ,Information hiding ,Distortion ,Discrete cosine transform ,Computer vision ,Artificial intelligence ,business ,computer - Abstract
Images reversible data hiding is a technique to embed additional data by modifying carrier images in a recoverable way, that has attracted more and more attention, especially for the most widely used JPEG format. As data carrier or modification domain, researchers usually choose one of two, DCT coefficients or entropy-coded data, that may result in different image filesize expansion or visual quality distortion. To this end, a new reversible data hiding method for JPEG images in multi-domain is proposed. Unlike existing methods, both of DCT coefficients and entropy-coded data can be used to embed data at the same time. In order to make trade-off between distortion of DCT coefficients domain and entropy-coded data domain, a reasonable payload distribution algorithm is also proposed. Experimental results demonstrate the superior to state-of-the-art works.
- Published
- 2021
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