Vectorial Color Image Watermarking via Wavelet Transform
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Solution Overview
Problem
Current color image watermarking techniques fail to optimize the compromise between invisibility and strength, are complex, and lack resistance to attacks like compression, filtering, and noise, while also not accounting for the color dimension of images.
Innovation Solution
A vectorial approach to watermarking that considers the relative positions of three color component vectors, allowing for the insertion of a watermark that takes into account the color dimension of images, combined with wavelet transformation for enhanced resistance to attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If gray levels watermarking techniques are adapted to color images by applying marking to three color components, then the watermark can be inserted into color images, but the compromise between invisibility and strength is not optimized
Solution Approach 1:
The patent transitions from scalar watermarking to vectorial watermarking by considering the color dimension. Instead of treating color components independently, the invention uses vector operations in color space (RGB, YUV, or CMY) to embed watermarks, thereby optimizing both invisibility and strength through coordinated modification of multiple color components simultaneously.
Solution Approach 2:
The patent applies parameter changes by using different color spaces (RGB, YUV, CMY) and adjusting marking parameters such as marking force and vector orientation. The wavelet transformation decomposes the image into frequency sub-bands, allowing selective watermarking in different frequency domains to optimize the balance between perceptibility and robustness.
2Reliability
If watermarking techniques are made more robust against attacks, then resistance to compression and filtering improves, but the complexity of the technique increases
Solution Approach 1:
The patent segments the image processing into distinct stages: wavelet decomposition divides the image into frequency sub-bands, color space transformation separates color components, and vectorial watermarking applies marking operations. This segmentation allows each stage to be optimized independently for robustness while managing overall complexity.
Solution Approach 2:
The patent introduces wavelet transformation as an intermediary step between the original image and the watermarking process. The wavelet coefficients serve as an intermediate representation that provides both robustness against compression and filtering attacks while maintaining a structured framework that manages computational complexity.
3Reliability
If wavelet transformation is used for watermarking, then resistance to JPEG compression improves, but the calculation time increases
Solution Approach 1:
The patent applies partial wavelet transformation by selecting specific frequency sub-bands for watermarking rather than processing the entire frequency spectrum. This partial action provides sufficient robustness against JPEG compression while reducing the computational burden compared to full-wavelet processing of all sub-bands.
4Measurement precision
If the watermark is made more visible to ensure detection, then detection reliability improves, but the invisibility of the watermark deteriorates
Solution Approach 1:
The patent applies local quality by embedding watermark information in different frequency sub-bands with different strengths. Low-frequency sub-bands carry stronger watermark signals for reliable detection, while high-frequency sub-bands carry weaker signals to maintain invisibility. The vectorial approach in color space also allows local optimization of watermark visibility in different color components based on human visual sensitivity.
Data Source
AI summary
A method of watermarking a color image that has at least three components is provided. Such a method of watermarking includes an insertion step of a mark of watermarking, on at least one point of the image, according to an insertion rule taking into account the relative position of at least three component vectors, associated to said at least one point.