20230116801. IMAGE AUTHENTICITY DETECTION METHOD AND DEVICE, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract (Tencent Technology (Shenzhen) Company Limited)
IMAGE AUTHENTICITY DETECTION METHOD AND DEVICE, COMPUTER DEVICE, AND STORAGE MEDIUM
Organization Name
Tencent Technology (Shenzhen) Company Limited
Inventor(s)
Shouhong Ding of Shenzhen (CN)
IMAGE AUTHENTICITY DETECTION METHOD AND DEVICE, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20230116801 titled 'IMAGE AUTHENTICITY DETECTION METHOD AND DEVICE, COMPUTER DEVICE, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes a method for detecting the authenticity of an image using a generative adversarial network (GAN). Here is a simplified explanation of the abstract:
- The method starts by obtaining a target image that needs to be authenticated.
- The target image is then inputted into a generator within a GAN, which produces an artifact image that represents the difference between the target image and a real image.
- The generator is designed to output a prediction artifact image based on a sample image and generate a fitting image using this prediction artifact image.
- In the training stage, a discriminator is included in the GAN to determine the authenticity of the fitting image. This helps the generator learn the distinguishing features between a fake image and a real image.
- Finally, the authenticity of the target image is determined based on the artifact image.
Potential applications of this technology:
- Image forensics: This method can be used to detect manipulated or fake images, which is crucial in fields like journalism, law enforcement, and digital forensics.
- Content verification: It can be employed to verify the authenticity of images shared on social media platforms, preventing the spread of misinformation or misleading content.
- Copyright protection: The method can help identify unauthorized use or alteration of copyrighted images, aiding in the protection of intellectual property rights.
Problems solved by this technology:
- Image tampering detection: The method provides a reliable way to detect if an image has been manipulated or altered, helping to ensure the integrity and authenticity of visual content.
- Misinformation detection: By identifying fake or manipulated images, this technology can contribute to the fight against misinformation and fake news, promoting more accurate and trustworthy information dissemination.
Benefits of this technology:
- Improved image authentication: The use of a GAN allows for more accurate and robust detection of image authenticity compared to traditional methods.
- Automated process: The method can be automated, making it efficient and scalable for analyzing large volumes of images.
- Real-time detection: The technology can provide real-time detection of image authenticity, enabling quick decision-making and response in various applications.
Original Abstract Submitted
an image authenticity detection method includes: obtaining a target image; inputting the target image into a generator of a generative adversarial network, and outputting an artifact image corresponding to the target image through the generator, where the artifact image is used for representing a difference between the target image and a real image; the generator is configured to output a prediction artifact image corresponding to a sample image and generate a fitting image based on the prediction artifact image; and the generative adversarial network further comprises a discriminator in a training stage, and the discriminator is configured to discriminate the authenticity of the fitting image, to assist the generator to learn a difference feature between a false image and a real image; and determining an authenticity detection result of the target image based on the artifact image.
