Reversible data hiding in encrypted images (RDHEI) is an essential data security technique.
Most RDHEI methods cannot perform well in embedding capacity and security. To address …

Image manipulation localization is a technique that can efficiently segment the tampered
regions from a suspicious image. Existing work usually trains a detection model by fusing …

In machine learning and data analysis, dimensionality reduction and high-dimensional data
visualization can be accomplished by manifold learning using a t-Distributed Stochastic …

Robust hashing is a useful technique for the image applications of watermarking,
authentication, quality assessment and copy detection. This paper proposes a new robust …

At present, most of the perceptual hash methods for image copyright protection rely on
manually designed feature extraction and mapping, whose detection accuracy is insufficient …

Robust hashing is a powerful technique for processing large-scale images. Currently, many
reported image hashing schemes do not perform well in balancing the performances of …

At present, high-dimensional data clustering has become a vital research field in machine
learning. Traditional clustering algorithms cannot perform well on high-dimensional data …

Image hashing can be extensively used in image forensics, and the lightweight image hash
suitable for IoT smart devices plays an important role of integrity verification for the image …

Images have become a significant medium for information transmission, while image
forensics has garnered widespread attention from researchers. Due to the scarcity of finely …

Due to the limited number of stable image feature descriptors and the simplistic
concatenation approach to hash generation, existing hashing methods have not achieved a …