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arXiv · 1704.05624

FSITM: A Feature Similarity Index For Tone-Mapped Images

Hossein Ziaei Nafchi·Atena Shahkolaei·Reza Farrahi Moghaddam·Mohamed Cheriet
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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. The MATLAB source code of the proposed metric(s) is available at https://www.mathworks.com/matlabcentral/fileexchange/59814.

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Hossein Ziaei Nafchi, Atena Shahkolaei, Reza Farrahi Moghaddam, Mohamed Cheriet. 2017-04-19. FSITM: A Feature Similarity Index For Tone-Mapped Images. https://doi.org/10.1109/lsp.2014.2381458

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