Text images, such as scanned documents, certificates, and chat-box screenshots, are
commonly used for multimodal communication. However, the rise of advanced deep image …

Deep-learning-based image inpainting repairs a region with visually believable content,
leaving behind imperceptible traces. Since deep image inpainting approaches can …

The increase of image information brings the need for secure storage and management, and
people are used to uploading images to cloud servers for storage, but the issue of privacy …

To prevent the misuse of tampered images, numerous tampering localization methods have
been proposed in recent years. However, these methods often suffer from significant …

Tampered images with false information can mislead viewers and pose security issues.
Tampering traces in images are difficult to detect. To locate tampering traces effectively, a …

Deep Learning image forgery localization methods have achieved remarkable results but
cannot maintain comparable performance when the forgery images are JPEG compressed …

Image copy‐move forgery, where an image region is copied and pasted within the same
image, is a simple yet widely employed manipulation. In this paper, we rethink copy‐move …

The widespread dissemination of diverse forgery images has profoundly impacted social
life. Thus, image forgery detection techniques are becoming increasingly urgent. Existing …

The proliferation of manipulated images in the digital landscape necessitates advanced
techniques for accurate image tampering detection. This research investigates and presents …