◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Leonardo Galteri

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0002-7247-9407

identity via Semantic Scholar / OpenAlex

most citedARNIQA: Learning Distortion Manifold for Image Quality Assessment

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1

In the latest years, videoconferencing has taken a fundamental role in interpersonal relations, both for personal and business purposes. Lossy video compression algorithms are the…

cs.CV2023

Restoration of Analog Videos Using Swin-UNet

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1

In this paper, we present a system to restore analog videos of historical archives. These videos often contain severe visual degradation due to the deterioration of their tape supp…

cs.CV2023★ 3 cited

ARNIQA: Learning Distortion Manifold for Image Quality Assessment

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1

No-Reference Image Quality Assessment (NR-IQA) aims to develop methods to measure image quality in alignment with human perception without the need for a high-quality reference ima…

cs.CV2023

Reference-based Restoration of Digitized Analog Videotapes

Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini +1

Analog magnetic tapes have been the main video data storage device for several decades. Videos stored on analog videotapes exhibit unique degradation patterns caused by tape aging…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.