Tenacious tagging of images via Mellin monomials
Kieran G. Larkin, Peter A. Fletcher, Stephen J. Hardy

TL;DR
This paper introduces a robust, template-based blind watermarking method using Mellin monomials that can embed persistent metadata into images, resistant to various common editing and distortion operations.
Contribution
It presents a novel watermarking scheme employing Mellin monomials and Radon transforms for affine-invariant, imperceptible metadata embedding with high robustness and efficiency.
Findings
Watermarks are imperceptible with SSIM > 0.988.
Watermarked images withstand most Stirmark attacks.
The method achieves a good robustness-capacity-visibility balance.
Abstract
We describe a method for attaching persistent metadata to an image. The method can be interpreted as a template-based blind watermarking scheme, robust to common editing operations, namely: cropping, rotation, scaling, stretching, shearing, compression, printing, scanning, noise, and color removal. Robustness is achieved through the reciprocity of the embedding and detection invariants. The embedded patterns are real onedimensional Mellin monomial patterns distributed over two-dimensions. The embedded patterns are scale invariant and can be directly embedded in an image by simple pixel addition. Detection achieves rotation and general affine invariance by signal projection using implicit Radon transformation. Embedded signals contract to one-dimension in the two-dimensional Fourier polar domain. The real signals are detected by correlation with complex Mellin monomial templates. Using a…
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Taxonomy
TopicsDigital Image Processing Techniques · Medical Image Segmentation Techniques · Image Retrieval and Classification Techniques
