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FSITM: A Feature Similarity Index For Tone-Mapped Images

Abstract · Apr 19, 2017 06:23 ·

index tone hdr tmqi ldr fsitm mapped images assessment tmo cs-cv

Arxiv Abstract

  • Hossein Ziaei Nafchi
  • Atena Shahkolaei
  • Reza Farrahi Moghaddam
  • Mohamed Cheriet

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

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