Image Watermarking TRIZ Cases
- Imperfect Surface Patterns for Aesthetic Machine-Readable Encoding
Intentional visual imperfections encode verified data while preserving aesthetics and enabling robust scanning under motion, blur, and poor lighting.
- Fingerprint Data Embedding for Tamper-Proof Document Authentication
Variable data is embedded into fingerprint features to make travel documents and IDs harder to forge while preserving reliable biometric verification.
- Imperfect Surface Patterns for Reliable Optical Data Encoding
Machine-readable imperfect patterns embed verified data in aesthetic graphics, improving scanning on curved or partially visible surfaces.
- Decorative Label Encoding for Reliable Hidden Data Detection
Machine-learned label modifications embed readable data with minimal visual change, supporting reliable decoding and mass production.
- Decorative Label Encoding With Controlled Visual Modifications
Iterative encoder-decoder optimization embeds data in decorative labels with subtle visual changes, reliable decoding, and mass-production fit.
- Video Watermark Encoding With Imperceptible Spatial-Temporal Embedding
Machine-learned spatial-temporal embedding hides messages in video frames while preserving quality and improving robustness against distortion.
- Video Watermark Encoding Using 3D Temporal-Spatial Embedding
Machine-learned temporal-spatial embedding hides message watermarks across video frames to resist detection while preserving viewing quality.
- 3D Image Message Embedding for Imperceptible Multi-View Extraction
Machine-learned embedding hides messages in 3D image data with minimal visual change while preserving accurate extraction across viewpoints.