Founded in 2011, the Signal Processing and Communications Laboratory (LESC) brings together the Image Analysis, Processing, and Protection group with the Signal Processing and Wireless Communications group.

In this collaborative space, research activities encompass the analysis, processing and protection of multimedia signals such as images and video sequences), digital signal processing, wireless communications (WLAN, cellular, satellite), and telecommunications networks. Funding for the laboratory’s research comes from various projects supported by the Ministry of University and Research, the European Union, national and international research institutions (CNR, ESA, ASI, DARPA), and private companies.

Alongside their research, the IAPP and SPWC groups play a role in the educational activities of the School of Engineering. They offer courses for students in Computer Engineering, Electronic Engineering, Telecommunications Engineering, and Biomedical Engineering programs.

Latest news

Appearance deceives: hunting down fake images and videos with multimedia forensics techniques
2024-01-31

We are thrilled to announce a seminar as part of the upcoming Sarò Matricola event, dedicated to prospective freshmen of the School of Engineering. Dr. Daniele Baracchi will deliver a talk titled “L’apparenza inganna: a caccia di immagini e video falsi con tecniche di multimedia forensics” (“Appearance deceives: hunting down fake images and videos with multimedia forensics techniques”). The seminar will showcase the techniques of multimedia forensics that can be employed to discern the authenticity of images and videos.

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Audio Forensics Seminar
2024-01-19

We are happy to announce an upcoming seminar where our newest visiting posdoctoral researcher, Gül Tahaoğlu, will present on the topic of “Audio forensics”. Date: 2024-01-19 Time: 14:30 Location: DINFO Meeting Room (264) During this seminar, Gül will present the KTU Cyber Security Research Group and some of their recent reasearch endevors. Attendees can expect the following: Audio copy-move detection: via feature matching on MEL spectogram. Audio forgery localization: via a super-resolution spectogram and a keypoint-based clustering.

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Two papers accepted at ICASSP 2024
2023-12-15

We are thrilled to announce that our dedication to multimedia forensics research has once again borne fruit! Two of our papers have been accepted at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2024. 📚 Accepted Papers A codec-based approach for video life-cycle characterization in social networks by Giulia Bertazzini, Daniele Baracchi, Dasara Shullani, Massimo Iuliani, and Alessandro Piva Structure matters: analyzing videos via graph neural networks for social media platform attribution by Andrea Gemelli, Dasara Shullani, Daniele Baracchi, Simone Marinai, and Alessandro Piva We highlight that the first paper represents the inaugural publication of our talented first-year Ph.

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Winter Refreshment for Junior Researchers
2023-12-01

At LESC, we understand that research is not just about individual brilliance but also about the synergy created through collaboration. Therefore, we’re excited to invite you to a special winter refreshment event to celebrate our shared journey and strengthen our bonds as a research community. All PhD students and postdoctoral researchers of the department are warmly invited to join us for this special occasion. This event presents an opportunity for us to come together, regardless of our individual research interests, and connect as colleagues and friends.

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Image Quality Assessment with Deep Learning for medical images. Examples and opportunities
2023-11-15

We are glad to share news of an upcoming seminar featuring Chiara Albisani, who will be presenting on the intriguing topic of “Image Quality Assessment with Deep Learning for medical images. Examples and opportunities”. Date: 2023-12-01 Time: 10:00 Location: Room 031, School of Engineering Chiara’s presentation will delve into the cutting-edge algorithms used for assessing image quality in medical imaging. By exploring the current state-of-the-art techniques, she will also shed light on promising research avenues within this field.

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An overview of Diffusion Models in Multimedia Forensics: Generating and Detecting Synthetic Images
2023-10-13

We are happy to announce an upcoming seminar where our newest PhD student, Giulia Bertazzini, will present on the topic of “Diffusion Models in Multimedia Forensics: Generating and Detecting Images”. Date: 2023-10-27 Time: 10:00 Location: DINFO Meeting Room (264) During this seminar, Giulia will provide a comprehensive introduction to diffusion models and will explore current state-of-the-art techniques for detecting content produced by them. Attendees can expect the following: Introduction to Diffusion Models: Giulia will explain the underlying principles and functioning of diffusion models.

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