20 results about "Digital image watermarking" patented technology

The invention discloses a digital watermark registration positioning method based on linear Hough transform, which is applied to positioning and identification of a digital watermark on a digital image, and comprises the following steps: encoding input data, adding random offset, generating basic unit watermark blocks, paving the basic unit watermark blocks, and reserving intervals for a linear detection positioning algorithm. In the extraction algorithm, firstly, preprocessing and a Hough straight line detection algorithm are carried out on a carrier image, detected straight lines are grouped, intersection point information between two groups is calculated, vertex positions of basic unit watermark blocks are positioned by calculating the mutual position relation between intersection points, and then perspective transformation correction is carried out on each basic unit watermark block. And the embedded basic unit watermark block information is obtained. And then extracting coding information from the basic unit watermark block, and sequentially carrying out mask removal, error correction and decoding to recover original embedded information. The invention further discloses a system and application for implementing the method, and the system and the application have wide application value.

Methods, devices, and processor-readable media for digital image watermarking, including performing one or more decoding operations that each include generating a respective intermediate watermark embedding feature tensor that includes one or more representations of a watermark message embedded into a feature tensor generated by a preceding decoding operation; upscaling the respective intermediate watermark embedding feature tensor to generate a further feature tensor; and generate a watermarked image based on the further feature tensor.

This invention discloses a method for embedding and extracting invisible watermarks on the screen interface of a relay protection device in the fields of copyright protection and digital image watermarking. It aims to solve technical problems such as easy copying of interfaces and easy tampering of menu layouts. The method includes: acquiring the original screen interface image; extracting business information through image recognition, generating a verification digest, and converting it into a binary copyright watermark; standardizing and normalizing the same original screen interface image; extracting macroscopic, mesoscopic, and microscopic features using CNN and weighted fusion; performing first-level DWT decomposition on the normalized image to obtain subbands; inputting the low-frequency and high-frequency subbands into a CNN to predict an adaptive intensity matrix; binding the encoded watermark with the fused features, and embedding the horizontal and vertical high-frequency subbands in conjunction with the intensity matrix; reconstructing and inverse normalizing the image using inverse DWT, and outputting the watermarked image. This invention can achieve highly concealed watermark embedding and disturbance-resistant blind extraction, improving the reliability of copyright tracing and infringement evidence collection.

The present application relates to the field of digital image watermarking technology in information security, and provides a double color data image watermarking, image watermarking embedding, image watermarking extraction method and system. The double color data image watermarking method comprises an embedding process and an extraction process. In the embedding process, the color watermarking image W is encrypted by using HDNA, Mandelbrot graph and three-dimensional IPCM chaotic system to obtain an encrypted watermarking; the color carrier image is decomposed by QR decomposition, and then the encrypted watermarking is embedded into the color carrier image. In the extraction process, the encrypted watermarking information is extracted by QR decomposition, and then the original color watermarking information is extracted from the encrypted watermarking information by HDNA and Mandelbrot graph. The present application provides a safe, transparent and efficient double color image watermarking method, which has the advantages of high security, strong robustness, large copyright information capacity and fast operation speed, and has stronger application value.

The present disclosure belongs to the technical field of digital image watermarking, and particularly relates to a robust image watermarking method and system based on hierarchical attention feature fusion, which comprises the following steps: obtaining an original image and a watermark image; obtaining an image feature enhancement tensor and a watermark feature enhancement tensor based on the obtained original image and watermark image and in combination with a hierarchical attention feature fusion model; obtaining a watermark-containing image according to the original image, the image feature enhancement tensor and the watermark feature enhancement tensor; obtaining an attacked image according to the watermark-containing image and a simulation attack model; extracting an image watermark based on the attacked image and the hierarchical attention feature fusion model; and in the process of obtaining the watermark-containing image, supervising a watermark embedding network according to the original image, the watermark-containing image and an image discrimination model, and improving imperceptibility of the watermark-containing image.

The invention discloses a digital image watermark processing method based on an odd complementary sequence. The method comprises a watermark sequence generating step and a watermark sequence embedding step. The watermark sequence generation step comprises the following sub-steps: generating a binary odd complementary sequence pair (a, b) with the length of N by using a first key seed, the letter set of the binary odd complementary sequence pair being selected from {+ / -1}; enabling w = ab to represent a seed sequence with the length of 2N; and performing sequence odd cyclic shift expansion on the seed sequence to create a watermark sequence. According to the method, a lot of complementary interference watermark sequences are generated based on odd complementary sequences with ideal complementary properties for watermark processing, the method mainly focuses on improvement of anti-noise capability and improvement of transparency, and the method is suitable for scenes with stricter requirements for watermark visibility.

The present disclosure discloses a method for watermarking depth image based on mixed frequency-domain channel attention, relating to the field of artificial neural networks and digital image watermarking; the method includes: step 1: a watermark information processor generating a watermark information feature map; step 2: an encoder generating a watermarked image from a carrier image and a watermark information feature map; step 3: a noise layer taking the watermarked image as an input, and generating a noise image through simulated differentiable noise; step 4: a decoder down-sampling the noise image to recover watermark information; step 5: a countermeasure discriminator classifying the carrier image and the watermarked image such that the encoder generates a watermarked image with a high quality. The present disclosure combines the end-to-end depth watermark model with frequency-domain channel attention to expand an application range of the depth neural network in the field of image watermark.

This invention discloses a digital image watermark embedding and extraction method, device, and storage medium. The method combines histogram shifting with neural network embedding. After the DCT transform, histogram shifting is performed to minimize noise in the embedded data stream under JPEG compression. A neural network compensation algorithm is then used to minimize the impact of the data stream on the host image. This technical solution addresses the problem of poor performance of existing neural network digital watermarking techniques against JPEG compression attacks.

A method and apparatus for digital image watermarking processing are provided. In this method and apparatus, a computer system receives a first image and receives information to be embedded in the first image. The computer system generates a preprocessed first image by preprocessing the first image, and generates preprocessed information including a plurality of bit sets by preprocessing the information using at least channel coding of the information. The computer system embeds the preprocessed information in the preprocessed first image by at least selecting a plurality of blocks of the preprocessed first image and embedding each bit set of the plurality of bit sets in each block of the plurality of blocks. Each bit set of the plurality of bit sets is embedded in a minimum number of blocks among the plurality of blocks, and this minimum number is greater than 1.

The present invention proposes a multi-size image robust watermarking method and system based on an attention mechanism, which relates to the field of digital image watermarking. The method comprises the following steps: preprocessing an input color image and extracting an image feature tensor through an image feature extraction network; performing Arnold scrambling on the watermark information to be embedded by using the watermark feature extraction network to generate a watermark feature tensor of the same size as the image feature tensor; deeply fusing the image feature tensor and the watermark feature tensor through the watermark embedding network to generate a color watermarked image; performing a simulated attack on the color watermarked image by using a simulated attack network to generate an attacked image; and inputting the attacked image into the watermark extraction network to extract the watermark information. The present invention utilizes a multi-head attention mechanism to capture richer feature information, utilizes the attention mechanism to enhance useful channel features, and suppresses unimportant channel features, thereby improving the imperceptibility of the method and the embedding capacity and robustness of the watermarking algorithm.

Methods, devices, and processor-readable media for digital image watermarking, including performing one or more decoding operations that each include generating a respective intermediate watermark embedding feature tensor that includes one or more representations of a watermark message embedded into a feature tensor generated by a preceding decoding operation; upscaling the respective intermediate watermark embedding feature tensor to generate a further feature tensor; and generate a watermarked image based on the further feature tensor.

Intelligent Digital Image Watermarking Device

The present invention discloses a method for color digital image watermarking. First, the carrier image is transformed to obtain a singular value matrix; secondly, the watermark image is transformed to obtain a singular value matrix; then, the singular value block embedding method is applied to the two singular value matrices respectively, and an improved differential evolution algorithm is used to optimize the embedding strength of the watermark to obtain the optimal embedding strength. In addition, a digital signature is generated using the left and right singular vectors obtained by the singular value decomposition of the watermark, and the digital signature is embedded into the region with a larger standard deviation in the carrier image, and finally the carrier image containing the digital signature and the watermark is obtained. The present invention combines the improved differential evolution algorithm (DE) with the singular value block embedding method (SVBE), and both the invisibility and robustness of the watermark are better, and it can well balance the robustness and invisibility of the watermark method.

The present invention discloses a digital image watermarking method based on odd complementary sequences, comprising a watermark sequence generation step and a watermark sequence embedding step. The watermark sequence generation step includes the following substeps: using a first key seed to generate a binary odd complementary sequence pair (a, b) of length N, where the letter set of the binary odd complementary sequence pair is selected from {±1}; letting w = a||b represent a seed sequence of length 2N; and performing a sequence odd cyclic shift expansion on the seed sequence to create a watermark sequence. The present invention utilizes a watermark sequence generated from a large number of complementary interferences based on an odd complementary sequence with ideal complementary properties for watermarking, focusing primarily on improving noise resistance and transparency, and is suitable for scenarios with more stringent requirements on watermark visibility.

Provided is a method and apparatus for digital image watermarking. In the method and apparatus, a computer system receives a first image and receive information for embedding in the first image. The computer system preprocesses the first image to produce a preprocessed first image and preprocesses the information by at least channel-encoding the information to produce preprocessed information including a plurality of sets of bits. The computer system embeds the preprocessed information in the preprocessed first image by at least selecting a plurality of blocks of the preprocessed first image and embedding in each block of the plurality of blocks a respective set of bits of the plurality of sets of bits. Each set of bits of the plurality of sets of bits is embedded in a minimum number of blocks of the plurality of blocks, where the minimum number of blocks is greater than one.

Methods, devices, and processor-readable media for digital image watermarking, including performing one or more decoding operations that each include generating a respective intermediate watermark embedding feature tensor that includes one or more representations of a watermark message embedded into a feature tensor generated by a preceding decoding operation; upscaling the respective intermediate watermark embedding feature tensor to generate a further feature tensor; and generate a watermarked image based on the further feature tensor.

The invention discloses a data end-to-end digital image watermark correction detection method and system and a medium, and relates to the technical field of digital images, and the digital image watermark correction detection method comprises the steps: embedding a watermark in a predetermined circular region of a frequency domain amplitude spectrum of an original image, and generating a watermark-containing image; constructing a printing-shooting distorted image data set through a synthetic data generation mode, and training an end-to-end correction model; inputting a watermark-containing distorted image obtained by printing-shooting into the correction model, outputting two-dimensional coordinate mapping and generating a corrected image; performing Fourier domain blind detection on the corrected image, and generating a watermark authentication decision based on a dynamic detection threshold; starting multi-frame verification when the detection result is in a critical state, and feeding back the detection confidence to the correction model to form closed-loop optimization; therefore, complex perspective distortion in a printing-shooting scene is effectively corrected, the accuracy and robustness of watermark detection are improved, and integrated end-to-end processing of watermark correction and detection is realized.

Provided is a method and apparatus for digital image watermarking. In the method and apparatus, a computer system receives a first image and receive information for embedding in the first image. The computer system preprocesses the first image to produce a preprocessed first image and preprocesses the information by at least channel-encoding the information to produce preprocessed information including a plurality of sets of bits. The computer system embeds the preprocessed information in the preprocessed first image by at least selecting a plurality of blocks of the preprocessed first image and embedding in each block of the plurality of blocks a respective set of bits of the plurality of sets of bits. Each set of bits of the plurality of sets of bits is embedded in a minimum number of blocks of the plurality of blocks, where the minimum number of blocks is greater than one.

This paper proposes a deep learning-based information hiding method that effectively improves the robustness and concealment of digital image watermarks. The method includes the following key steps: first, using a point-of-interest extraction network to extract points of interest from the image; second, using a two-step screening network to ensure the sparsity and robustness of the points of interest; then, using a watermark encoder to embed watermark information around the robust points of interest, and introducing an adversarial training network during the training process to improve the robustness of the watermark; finally, using a watermark decoder to extract the hidden watermark information, and using a sub-watermark block screening model to screen potential sub-watermark blocks. By embedding data at robust features of the image and employing an adversarial training network to enhance the robustness of the model, this method effectively resists various attacks and ensures the accuracy and security of the watermark information.

The invention belongs to the technical field of digital image watermarking, and provides a robust watermarking method based on multi-scale attention to solve the problem that an existing deep learning digital image robust watermarking scheme is insufficient in performance under attacks of JPEG, cutting and the like. An encoder-noise layer-decoder structure is adopted, and the encoder realizes feature extraction and cross-group fusion by designing an MSCAF module; meanwhile, constructing a space attention mask layer to guide the watermark to adaptively adjust the embedding strength according to the image features; the decoder uses the MSCAF to extract the multi-scale features so as to improve the watermark extraction precision. Experimental results show that under JPEG attack training of different quality factors, the PSNR and the watermark extraction error rate of the coded image are both superior to those of an existing comparison algorithm; under combined noise attack training, the average peak signal-to-noise ratio of a coded image generated by the method reaches 38.6738 dB, the watermark extraction error rate is lower than 0.6%, and the method is superior to an existing comparison algorithm.