Fang et al., 2022 - Google Patents
Encoded feature enhancement in watermarking network for distortion in real scenesFang et al., 2022
- Document ID
- 4726421537090922542
- Author
- Fang H
- Jia Z
- Zhou H
- Ma Z
- Zhang W
- Publication year
- Publication venue
- IEEE Transactions on Multimedia
External Links
Snippet
Deep-learning based watermarking framework has been extensively studied recently. The main structure of such framework is an encoder, a noise layer and a decoder. By training with different distortion sets in the noise layer, the whole network can realize different …
- 230000000007 visual effect 0 abstract description 35
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0202—Image watermarking whereby the quality of watermarked images is measured; Measuring quality or performance of watermarking methods; Balancing between quality and robustness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/0028—Adaptive watermarking, e.g. Human Visual System [HVS]-based watermarking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0051—Embedding of the watermark in the spatial domain
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
- G06T9/001—Model-based coding, e.g. wire frame
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
- G06T9/008—Vector quantisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fang et al. | Encoded feature enhancement in watermarking network for distortion in real scenes | |
Jia et al. | Mbrs: Enhancing robustness of dnn-based watermarking by mini-batch of real and simulated jpeg compression | |
Mun et al. | Finding robust domain from attacks: A learning framework for blind watermarking | |
Zhang et al. | Robust invisible video watermarking with attention | |
Mun et al. | A robust blind watermarking using convolutional neural network | |
Jia et al. | RIHOOP: Robust invisible hyperlinks in offline and online photographs | |
Wang et al. | HidingGAN: High capacity information hiding with generative adversarial network | |
CN115131188A (en) | Robust image watermarking method based on generation countermeasure network | |
Xiong et al. | Flexible and secure watermarking for latent diffusion model | |
Ge et al. | A screen‐shooting resilient document image watermarking scheme using deep neural network | |
Fang et al. | De-END: decoder-driven watermarking Network | |
Zhu et al. | Destroying robust steganography in online social networks | |
Wang et al. | Adaptor: Improving the robustness and imperceptibility of watermarking by the adaptive strength factor | |
Bi et al. | High‐Capacity Image Steganography Algorithm Based on Image Style Transfer | |
Liao et al. | GIFMarking: The robust watermarking for animated GIF based deep learning | |
Dzhanashia et al. | Low complexity template-based watermarking with neural networks and various embedding templates | |
Zhang et al. | A blind watermarking system based on deep learning model | |
Zhang et al. | Embedding Guided End‐to‐End Framework for Robust Image Watermarking | |
Lin et al. | Source-ID-Tracker: Source Face Identity Protection in Face Swapping | |
Niu et al. | An image steganography method based on texture perception | |
Hu et al. | StegaEdge: learning edge-guidance steganography | |
Yakushev et al. | Docmarking: Real-Time Screen-Cam Robust Document Image Watermarking | |
Zhong et al. | Enhanced Attention Mechanism-Based Image Watermarking With Simulated JPEG Compression | |
Zhang et al. | A convolutional neural network-based blind robust image watermarking approach exploiting the frequency domain | |
Chen et al. | Toward high imperceptibility deep JPEG steganography based on sparse adversarial attack |