Deep Learning-based Text-in-Image Watermarking

arXiv:2404.13134v1 Announce Type: cross
Abstract: In this work, we introduce a novel deep learning-based approach to text-in-image watermarking, a method that embeds and extracts textual information within images to enhance data security and integrity. Leveraging the capabilities of deep learning, specifically through the use of Transformer-based architectures for text processing and Vision Transformers for image feature extraction, our method sets new benchmarks in the domain. The proposed method represents the first application of deep learning in text-in-image watermarking that improves …

abstract architectures arxiv capabilities cs.cv cs.lg cs.mm data data security deep learning feature image images information integrity novel processing security text textual through transformer transformers type vision vision transformers watermarking work