Tiziano Bianchi

TL;DR: A comprehensive review of despeckling methods since their birth, over thirty years ago, highlighting trends and changing approaches over years and proposing new methods based on new concepts of signal processing, like compressive sensing.

TL;DR: A forensic algorithm to discriminate between original and forged regions in JPEG images, under the hypothesis that the tampered image presents a double JPEG compression, either aligned (A- DJPG) or nonaligned (NA-DJPG).

TL;DR: A forensic tool able to discriminate between original and forged regions in an image captured by a digital camera is presented, based on a new feature measuring the presence of demosaicking artifacts at a local level and a new statistical model allowing to derive the tampering probability of each 2 × 2 image block without requiring to know a priori the position of the forged region.

TL;DR: This paper investigates the implementation of the discrete Fourier transform (DFT) in the encrypted domain by using the homomorphic properties of the underlying cryptosystem, and shows that the radix-4 fast Fouriertransform is best suited for an encrypted domain implementation in the proposed scenarios.

TL;DR: The main solution is a generic identification protocol that allows to select and report all the enrolled identities whose distance to the user's fingercode is under a given threshold and can be generalized to any biometric system that shares the same matching methodology, namely distance computation and thresholding.