DocumentCode :
1758067
Title :
FSITM: A Feature Similarity Index For Tone-Mapped Images
Author :
Ziaei Nafchi, Hossein ; Shahkolaei, Atena ; Farrahi Moghaddam, Reza ; Cheriet, Mohamed
Author_Institution :
Synchromedia Lab. for Multimedia Commun. in Telepresence, Ecole de Technol. Super., Montreal, QC, Canada
Volume :
22
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1026
Lastpage :
1029
Abstract :
In this work, based on the local phase information of images, an objective index, called the feature similarity index for tone-mapped images (FSITM), is proposed. To evaluate a tone mapping operator (TMO), the proposed index compares the locally weighted mean phase angle map of an original high dynamic range (HDR) to that of its associated tone-mapped image calculated using the output of the TMO method. In experiments on two standard databases, it is shown that the proposed FSITM method outperforms the state-of-the-art index, the tone mapped quality index (TMQI). In addition, a higher performance is obtained by combining the FSITM and TMQI indices.
Keywords :
display instrumentation; image processing; FSITM; HDR; TMO; TMQI; feature similarity index; high dynamic range; local phase information; locally weighted mean phase angle map; objective index; standard database; tone mapped quality index; tone mapping operator; tone-mapped images; Dynamic range; Image quality; Indexes; Noise; Quality assessment; Visualization; High dynamic range; mean phase; objective quality assessment; tone-mapping operator;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2381458
Filename :
6985727
Link To Document :
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