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.

HDR Image Compression using Optimized Tone Mapping Model

ADAMI, Nicola;
2009-01-01

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.
2009
978-142442354-5
File in questo prodotto:
File Dimensione Formato  
04959755.pdf

gestori archivio

Tipologia: Full Text
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 215.56 kB
Formato Adobe PDF
215.56 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/10150
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 4
social impact