What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Franco Bartolini mainly investigates Digital watermarking, Watermark, Artificial intelligence, Computer vision and Image processing.
His research integrates issues of Computer security, Cryptography and Digital content in his study of Digital watermarking.
His Watermark study also includes
- Copy protection which connect with Intellectual property and Copying,
- Decoding methods and related Theoretical computer science and Robustness.
His Artificial intelligence study integrates concerns from other disciplines, such as Smoothing and Spatial correlation.
His study in Human visual system model and Data compression are all subfields of Computer vision.
His biological study spans a wide range of topics, including Transform coding and Luminance.
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?
Digital watermarking, Watermark, Artificial intelligence, Computer vision and Algorithm are his primary areas of study.
The concepts of his Digital watermarking study are interwoven with issues in Digital image, Computer security, Multimedia, Decoding methods and Robustness.
His Watermark research is multidisciplinary, relying on both Copy protection, Digital media, Theoretical computer science and Frequency domain.
His study looks at the intersection of Artificial intelligence and topics like Pattern recognition with RGB color model and Image restoration.
His work carried out in the field of Algorithm brings together such families of science as Speech recognition, Monte Carlo method and Median filter.
His Human visual system model research includes themes of Wavelet and Wavelet transform.
He most often published in these fields:
- Digital watermarking (60.17%)
- Watermark (41.53%)
- Artificial intelligence (39.83%)
What were the highlights of his more recent work (between 2001-2008)?
- Digital watermarking (60.17%)
- Watermark (41.53%)
- Artificial intelligence (39.83%)
In recent papers he was focusing on the following fields of study:
Franco Bartolini mostly deals with Digital watermarking, Watermark, Artificial intelligence, Computer vision and Computer security.
The various areas that Franco Bartolini examines in his Digital watermarking study include Information hiding, Algorithm, Multimedia and Robustness.
His Watermark research is multidisciplinary, incorporating elements of Copying, Decoding methods and Image compression.
His research investigates the link between Artificial intelligence and topics such as Authentication that cross with problems in JPEG and Transparency.
His study focuses on the intersection of Computer vision and fields such as Prosthesis with connections in the field of Projection.
Franco Bartolini combines subjects such as 3d watermarking, MPEG-4, Computer network and Intellectual property with his study of Computer security.
Between 2001 and 2008, his most popular works were:
- Watermarking Systems Engineering : Enabling Digital Assets Security and Other Applications (222 citations)
- Optimum decoding and detection of multiplicative watermarks (118 citations)
- Managing copyright in open networks (114 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
His scientific interests lie mostly in Digital watermarking, Watermark, Artificial intelligence, Computer vision and Computer security.
The study incorporates disciplines such as Theoretical computer science, Cryptography, Information hiding, Image processing and Robustness in addition to Digital watermarking.
His Watermark research is multidisciplinary, incorporating elements of Discrete cosine transform, Video tracking, Steganography, Algorithm and Monte Carlo method.
His research in the fields of Grayscale and Contextual image classification overlaps with other disciplines such as Remote sensing application and Discrete Fourier transform.
His research in Computer vision intersects with topics in MPEG-4 and Pattern recognition.
The Computer security study combines topics in areas such as Computer network, Digital content and Systems engineering.
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.
