Skip to Main Content (Press Enter)

Logo UNIBS
  • ×
  • Home
  • Persone
  • Strutture
  • Competenze
  • Pubblicazioni
  • Professioni
  • Corsi
  • Insegnamenti
  • Terza Missione

Competenze & Professionalità
Logo UNIBS

|

Competenze & Professionalità

unibs.it
  • ×
  • Home
  • Persone
  • Strutture
  • Competenze
  • Pubblicazioni
  • Professioni
  • Corsi
  • Insegnamenti
  • Terza Missione
  1. Pubblicazioni

HDR Image Compression using Optimized Tone Mapping Model

Contributo in Atti di convegno
Data di Pubblicazione:
2009
Abstract:
In this paper, we propose a coding algorithm for high dynamic range images (HDRI). Our encoder applies a tone mapping model based on scaled mu-Law encoding, followed by a conventional low dynamic range image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone mapped HDRI and its LDR version. By virtue of the nature of the model, not only the quality of the HDRI but also the one of LDRI are improved, compared with a state of the art in conventional HDRI compression. Furthermore the error caused by our tone mapping model encoding is theoretically analyzed.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
high dynamic range images; compression; tone mapping
Elenco autori:
Sugiyama, N; Kaida, H; Xue, X; Jinno, T; Adami, Nicola; Okuda, M.
Autori di Ateneo:
ADAMI Nicola
Link alla scheda completa:
https://iris.unibs.it/handle/11379/10150
Titolo del libro:
IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2009
Pubblicato in:
PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Journal
PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Series
  • Assistenza
  • Privacy
  • Utilizzo dei cookie
  • Note legali

Realizzato con VIVO | Designed by Cineca | 26.5.2.0