Digital watermarking capacity
Image watermarking capacity is an evaluation of how much information can be hidden in a digital image. Watermarking capacity research studies how to transmit more watermark information. In watermarkings chemes, the image is considered as a communication channel to transmit messages.
Watermark power should be constrained according to the content of the image. We analyse the shortcomings of some previouswatermarking capacity methods and present a watermarking capacity method using the noise visibility function, and discuss the watermarking capacity of blind watermarking and non-blind watermarking.
Related Watermarking Project Titles:
- A novel public watermarking system based on advanced encryption system.
- Research on Polymorphism in Digital Text Watermarking.
- Survey of Public Key Digital Watermarking Systems.
- Properties of digital image watermarking.
- Resisting RST Watermarking Algorithm for Image Content Authentication.
- Image digital watermarking capacity and reliability analysis in wavelet domain.
- A single pass, high throughput reversible watermarking scheme for audio based on redundant embedding.
- Applications of neural network to watermarking capacity.
- Algorithm of digital image watermarking technique combined with HVS.
- Performance Comparison of Novel, Robust Spatial Domain Digital Image Watermarking with the Conventional Frequency Domain Watermarking Techniques.
- Multi-agent system for intelligent watermarking of fingerprint images.
- Dual-Watermarking by QR-code Applications in Image Processing.
- Digital image watermarking based on DWT-DCT: Evaluate for a new embedding algorithm.
- Robust image watermarking based on block based error correction code.
- Digital watermarking capacity and reliability.
- Optimum capacity additive and multiplicative image watermarking and performance comparisons.
- A New Approach of Mesh Watermarking Based on Maximally Stable Meshes Detection.
- DWT-DCT-SVD based watermarking.
- Large capacity digital audio watermarking algorithm based on DWT and DCT.
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