Search Results for author:
Found 8 papers, 3 papers with code
On the exploitation of DCT statistics for cropping detectors
In this work, we investigated a novel image resolution classifier that employs DCT statistics with the goal to detect the original resolution of images; in particular the insight was exploited to address the challenge of identifying cropped images.
Boosting multiple sclerosis lesion segmentation through attention mechanism
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.
Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
Early detection of an infection prior to prosthesis removal (e. g., hips, knees or other areas) would provide significant benefits to patients.
UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan
This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 2023.
CNN-based first quantization estimation of double compressed JPEG images
Multiple JPEG compressions leave artifacts in digital images: residual traces that could be exploited in forensics investigations to recover information about the device employed for acquisition or image editing software.
Computational data analysis for first quantization estimation on JPEG double compressed images
Multimedia Forensics experts work consists in providing answers about integrity of a specific media content and from where it comes from.
In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
The exploitation of traces in JPEG double compressed images is of utter importance for investigations.
Animated GIF optimization by adaptive color local table management
The proposed technique is based on Local Color Table selection and color remapping in order to create optimized animated GIFs while preserving the original format.
