H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 14,771 307 World Ranking 1231 National Ranking 19

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to signal and image processing for multimedia security

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Statistics

His primary areas of study are Artificial intelligence, Digital watermarking, Computer vision, Watermark and Image processing. His Artificial intelligence research incorporates themes from Frame, Data mining, Block-matching algorithm and Pattern recognition. His studies in Digital watermarking integrate themes in fields like Computer security, Cryptography, Channel and Discrete cosine transform.

His Computer vision study which covers Video compression picture types that intersects with Video processing. His biological study spans a wide range of topics, including Algorithm, Wavelet, Detection theory and Digital image. His Image processing study combines topics in areas such as Transform coding, Painting and Information retrieval.

His most cited work include:

  • Improved wavelet-based watermarking through pixel-wise masking (827 citations)
  • A DCT-domain system for robust image watermarking (640 citations)
  • DCT-based watermark recovering without resorting to the uncorrupted original image (354 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Digital watermarking, Computer vision, Watermark and Algorithm. His biological study deals with issues like Pattern recognition, which deal with fields such as Detector and Histogram. His Digital watermarking research includes elements of Theoretical computer science, Computer security, Multimedia, Decoding methods and Robustness.

Many of his studies involve connections with topics such as Steganography and Watermark. The Algorithm study combines topics in areas such as Distortion and Median filter. His Cryptography research focuses on Encryption and how it relates to Signal processing.

He most often published in these fields:

  • Artificial intelligence (42.14%)
  • Digital watermarking (34.41%)
  • Computer vision (28.18%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (42.14%)
  • Deep learning (3.49%)
  • Pattern recognition (13.22%)

In recent papers he was focusing on the following fields of study:

Mauro Barni mostly deals with Artificial intelligence, Deep learning, Pattern recognition, Adversarial system and Detector. His Artificial intelligence research integrates issues from Machine learning and Computer vision. His work on Multispectral image as part of general Computer vision research is frequently linked to Scratch, thereby connecting diverse disciplines of science.

His research integrates issues of Multiple classification, Transformation geometry and Digital image in his study of Pattern recognition. His study in Detector is interdisciplinary in nature, drawing from both Statistical hypothesis testing, Support vector machine, Median filter and Adaptive histogram equalization. His work in Artificial neural network addresses subjects such as Digital watermarking, which are connected to disciplines such as Spread spectrum, Watermark, Deep neural networks and Field.

Between 2018 and 2021, his most popular works were:

  • CNN-Based Adversarial Embedding for Image Steganography (56 citations)
  • A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning (24 citations)
  • On the Transferability of Adversarial Examples against CNN-based Image Forensics (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Algorithm

His primary areas of investigation include Artificial intelligence, Deep learning, Adversarial machine learning, Algorithm and Machine learning. His Artificial intelligence study frequently links to related topics such as Pattern recognition. Mauro Barni has researched Deep learning in several fields, including Backdoor, Facial recognition system, Authentication, Task and Robustness.

His studies deal with areas such as Luminance, Computer vision, Sine wave, Color balance and Geometric transformation as well as Backdoor. His Adversarial machine learning study integrates concerns from other disciplines, such as Median filter, Adaptive histogram equalization, Feature extraction, Convolutional neural network and Feature selection. The concepts of his Algorithm study are interwoven with issues in Statistical hypothesis testing, Detector, Copy move and Video compression picture types.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Improved wavelet-based watermarking through pixel-wise masking

M. Barni;F. Bartolini;A. Piva.
IEEE Transactions on Image Processing (2001)

1344 Citations

A DCT-domain system for robust image watermarking

Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Piva.
Signal Processing (1998)

1195 Citations

DCT-based watermark recovering without resorting to the uncorrupted original image

A. Piva;M. Barni;F. Bartolini;V. Cappellini.
international conference on image processing (1997)

692 Citations

Watermarking Systems Engineering : Enabling Digital Assets Security and Other Applications

Mauro Barni;Franco Bartolini.
(2004)

544 Citations

Comments on "A possibilistic approach to clustering"

M. Barni;V. Cappellini;A. Mecocci.
IEEE Transactions on Fuzzy Systems (1996)

330 Citations

An overview on video forensics

P. Bestagini;K. M. Fontani;S. Milani;M. Barni.
european signal processing conference (2012)

275 Citations

A new decoder for the optimum recovery of nonadditive watermarks

M. Barni;F. Bartolini;A. De Rosa;A. Piva.
IEEE Transactions on Image Processing (2001)

269 Citations

On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

T. Bianchi;A. Piva;M. Barni.
IEEE Transactions on Information Forensics and Security (2009)

254 Citations

Privacy-preserving fingercode authentication

Mauro Barni;Tiziano Bianchi;Dario Catalano;Mario Di Raimondo.
acm workshop on multimedia and security (2010)

234 Citations

DWT-based technique for spatio-frequency masking of digital signatures

Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Lippi.
electronic imaging (1999)

222 Citations

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