Robust Visual Hashing Using JPEG 2000
Roland Norcen, Andreas Uhl · 2005
Robust visual hash functions have been designed to ensure the data integrity of digital visual data. Such algorithms rely on an efficient scheme for robust visual feature extraction. We propose to use the wavelet-based JPEG2000 image compression algorithm for feature extraction. We discuss the sensitivity of our proposed method against different malicious data modifications including local image alterations and Stirmark attacks.