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F. Banterle

3 papers hereh-index 222.1k citations99 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.GR1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedA Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images

20 citations · 41 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2024

Deep chroma compression of tone-mapped images

Xenios Milidonis, Francesco Banterle, Alessandro Artusi

Acquisition of high dynamic range (HDR) images is thriving due to the increasing use of smart devices and the demand for high-quality output. Extensive research has focused on deve…

cs.GR2022★ 1 cited

Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

Francesco Banterle, Demetris Marnerides, Kurt Debattista +1

Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods…

cs.CV2019★ 20 cited

DeepFlash: Turning a Flash Selfie into a Studio Portrait

Nicola Capece, Francesco Banterle, Paolo Cignoni +3

We present a method for turning a flash selfie taken with a smartphone into a photograph as if it was taken in a studio setting with uniform lighting. Our method uses a convolution…

cs.CV2017★ 20 cited

A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images

E. Sikudova, T. Pouli, A. Artusi +4

Few tone mapping operators (TMOs) take color management into consideration, limiting compression to luminance values only. This may lead to changes in image chroma and hues which a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.