A Review of Hashing based Image Copy Detection Techniques

Abstract

Images are considered to be natural carriers of information, and a large number of images are created, exchanged and are made available online. Apart from creating new images, the availability of number of duplicate copies of images is a critical problem. Hashing based image copy detection techniques are a promising alternative to address this problem. In this approach, a hash is constructed by using a set of unique features extracted from the image for identification. This article provides a comprehensive review of the state-of-the-art image hashing techniques. The reviewed techniques are categorized by the mechanism used and compared across a set of functional & performance parameters. The article finally highlights the current issues faced by such systems and possible future directions to motivate further research work.

High-Resolution Remote Sensing Image Integrity Authentication Method Considering Both Global and Local Features

“…Perceptual hashing is a method to map multimedia data into hash sequence, which is robust to content retention operations and sensitive to content tampering operations [17]. It is widely used in information retrieval [18][19][20], data authentication [21][22][23], copy detection [24,25] and other fields. The realization of perceptual hash is as follows: The data sender generates the hash sequence by feature extraction and feature compression, and the data receiver verifies the integrity by comparing the similarity of the hash sequence.…”