Image Splicing

Image splicing, the act of combining portions of different images, is a significant concern due to its potential for misuse in spreading misinformation and undermining trust. Current research focuses on developing robust detection algorithms, often employing deep learning architectures like Siamese networks and convolutional neural networks, which analyze image features and inconsistencies to identify spliced regions. These methods are being improved through the creation of larger, more diverse datasets and the development of techniques to mitigate the effects of confounding factors like compression artifacts. The accurate detection of image splicing is crucial for maintaining the integrity of visual information across various fields, including scientific publications and online media.