Prof. Sebastiano Battiato
Associate Professor at Univ degli Studi di Catania
SPIE Involvement:
Conference Program Committee | Conference Co-Chair | Conference Chair | Journal Editorial Board Member | Author | Editor | Instructor
Area of Expertise:
digital photography , image forensics
Profile Summary

Sebastiano Battiato was born in Catania, Italy, in 1972. He received the degree in Computer Science (summa cum laude) in 1995 at Catania University and his Ph.D in Computer Science and Applied Mathematics in 1999 in Naples. From 1999 to 2003 he has leaded the “Imaging” team c/o STMicroelectronics in Catania. He joined the Department of Mathematics and Computer Science of the University of Catania as Assistant Professor in 2004 and became Associate Professor in the same department in 2011. His research interests include image enhancement and processing, image coding and camera imaging technology. He published more than 90 papers in international journals, conference proceedings and book chapters. He is co-inventor of about 15 international patents He is reviewer for several international journals and he has been regularly a member of numerous international conference committees. He has participated in many international and national research projects. Chair of several international events (ECCV2012, ICIAP 2011, ACM MiFor 2010, SPIE EI Digital Photography 2011, etc.). He is an Associate Editor of the IEEE Transactions on Circuits and System for Video Technology and of the SPIE Journal of Electronic Imaging (Specialty: digital photography and image compression). Guest editor of the following special issues: "Emerging Methods for Color Image and Video Quality Enhancement" published on EURASIP Journal on Image and video Processing (2010) and "Multimedia in Forensics, Security and Intelligence" to be published on IEEE Multimedia Magazine.He is director (and co-founder) of ICVSS (International Computer Vision Summer School). He is a Senior Member of the IEEE.

Main Research Topics: ISP Algorithm for Embedded Devices, Adaptive Techniques for Image Enhancement and Coding, Raster to Vector Conversion, Medical Imaging, Image and Video Forensics.

More details on: http://www.dmi.unict.it/~battiato/
Publications (34)

SPIE Journal Paper | December 22, 2015
JEI Vol. 24 Issue 06
KEYWORDS: Imaging systems, 3D image processing, Image segmentation, Image processing, Panoramic photography, 3D image enhancement, 3D image reconstruction, Image quality, Image enhancement, Surveillance

PROCEEDINGS ARTICLE | March 17, 2015
Proc. SPIE. 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
KEYWORDS: Lithium, Image compression, Stereoscopy, Image segmentation, Image processing, Computer programming, Image quality, Bismuth, Algorithm development, 3D image processing

PROCEEDINGS ARTICLE | March 17, 2015
Proc. SPIE. 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015
KEYWORDS: Mirrors, Imaging systems, Cameras, Calibration, Distortion, Projection systems, Binary data, Software frameworks, Pico projectors, Structured light

SPIE Conference Volume | March 16, 2015

PROCEEDINGS ARTICLE | March 16, 2015
Proc. SPIE. 9399, Image Processing: Algorithms and Systems XIII
KEYWORDS: Imaging systems, Cameras, Sensors, Image processing, Video, Video surveillance, Imaging devices, Image sensors, Video processing, Multimedia

SPIE Conference Volume | March 19, 2014

Showing 5 of 34 publications
Conference Committee Involvement (8)
Digital Photography and Mobile Imaging XI
9 February 2015 | San Francisco, California, United States
Media Watermarking, Security, and Forensics 2015
9 February 2015 | San Francisco, California, United States
Digital Photography X
3 February 2014 | San Francisco, California, United States
Media Watermarking, Security, and Forensics 2014
3 February 2014 | San Francisco, California, United States
Digital Photography IX
4 February 2013 | Burlingame, California, United States
Showing 5 of 8 published special sections
Course Instructor
SC1048: Recent Trends in Imaging Devices
In the last decade, consumer imaging devices such as camcorders, digital cameras, smartphones and tablets have been dramatically diffused. The increasing of their computational performances combined with an higher storage capability allowed to design and implement advanced imaging systems that can automatically process visual data with the purpose of understanding the content of the observed scenes. In the next years, we will be conquered by wearable visual devices acquiring, streaming and logging video of our daily life. This new exciting imaging domain, in which the scene is observed from a first person point of view, poses new challenges to the research community, as well as gives the opportunity to build new applications. Many results in image processing and computer vision related to motion analysis, tracking, scene and object recognition and video summarization, have to be re-defined and re-designed by considering the emerging wearable imaging domain. In the first part of this course we will review the main algorithms involved in the single-sensor imaging devices pipeline describing also some advanced applications. In the second part of the course we will give an overview of the recent trends of imaging devices considering the wearable domain. Challenges and applications will be discussed considering the state-of-the-art literature.
SC1130: Image and Video Forensics: Recent Trends and Challenges
The widespread adoption of digital content over traditional physical media such as film has given rise to a number of new information security challenges. Digital content can be altered, falsified, and redistributed with relative ease by adversaries. This has important consequences for governmental, commercial, and social institutions that rely on digital information. The pipeline which leads to ascertain whether an image has undergone to some kind of forgery leads through the following steps: determine whether the image is "original" and, in the case where the previous step has given negative results, try to understand the past history of the image. Although the field of information forensics is still young, many forensic techniques have been developed to detect forgeries, identify the origin, and trace the processing history of digital multimedia content. This course provides an overview of information forensics research and related applications. Also we examine the device-specific fingerprints left by digital image and video cameras along with forensic techniques used to identify the source of digital multimedia files. Finally, an overview of the recent trends and evolution, considering the updated literature in the field, will be provided.
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