Anti-printing shot image digital watermarking method based on image noise reduction
An image noise reduction and digital watermarking technology, applied in image watermarking, image data processing, image data processing, etc., can solve the problems of robustness, embedding capacity and visual effects at the same time, and achieve high fidelity and embedding capacity Effects that balance and enhance visual effects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0072] Such as figure 1 As shown, the present invention provides a digital watermarking method for printing and photographing images based on image noise reduction. It mainly constructs a powerful image noise reducer before the watermark information decoder to counteract the problems experienced by the image during printing and shooting. Noise attacks reduce as much as possible the impact of the printing and shooting process on the embedding and extraction of watermark information. It mainly includes: the construction of the image noise reduction layer, the structure design of the watermark codec and the adversarial training process. Specifically include the following steps:
[0073] S1: Model the noise in the printing and shooting process to build a noise layer; perform confrontation training on the generative countermeasure network GANs according to the noise layer to build an image noise reduction layer;
[0074] S2: The original image and the noise image after the noise layer...
Embodiment 2
[0128] More specifically, the method provided by the present invention includes:
[0129] 1. Training of image noise reduction layer, see step 11)-12)
[0130] 11) Modeling the noise of the printing and shooting process, mainly including geometric distortion, motion blur, color transformation, additive noise and JPEG attack, etc., respectively using affine transformation, blur kernel convolution, channel interpolation, histogram scaling, Additive Gaussian noise and differentiable JPEG algorithm are simulated.
[0131] 12) Use a generative countermeasure network to denoise the noisy image, and the original image I input Input to the noise layer, get noisy image I noise And sent to the generator in the noise reduction layer, the output of the generator is the denoised image I denoise , The original image I input And denoised image I denoise Substitute into the optimization function formula 1, and use them as the input of the discriminator in the noise reduction layer, perform the ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com