Robustness and discrimination are two of the most important objectives in image hashing.
We incorporate ring partition and invariant vector distance to image hashing algorithm for …

A robust hashing method is developed for detecting image forgery including removal,
insertion, and replacement of objects, and abnormal color modification, and for locating the …

This paper presents a new image hashing that is designed with tensor decomposition (TD),
referred to as TD hashing, where image hash generation is viewed as deriving a compact …

This paper designs an efficient image hashing with a ring partition and a nonnegative matrix
factorization (NMF), which has both the rotation robustness and good discriminative …

In this paper, a novel perceptual image hashing scheme based on convolutional neural
network (CNN) with multiple constraints is proposed, in which our deep hashing network …

Image encryption is a useful technique for many applications, such as image content
protection, image authentication, pay-TV and data hiding. In this paper, we propose an …

Multidimensional scaling (MDS) is an efficient technique for data analysis, and has been
successfully applied in data visualization, object retrieval, data clustering, and so on …

Image-hashing-based tampering detection methods have been widely studied with
continuous advancements. However, most of existing models are designed for a specific …

The main problem addressed in this paper is the robust tampering detection of the image
received in a transmission under various content-preserving attacks. To this aim the multi …

Image hashing is an emerging technology of multimedia processing. This paper proposes a
robust image hashing with dominant discrete cosine transform (DCT) coefficients. The …