8 results about "Digital image watermarking" patented technology

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.

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

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.

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.

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.