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. Index Terms-Tone-mapping operator, Objective quality assessment, Mean phase, High dynamic range.
The feature similarity index for tone-mapped images REF (FSITM) was then proposed in 2015.
FSITM: A Feature Similarity Index For Tone-Mapped Images
IEEE Signal Processing Letters, vol. 22, no. 8, Aug 2015
Mathematics Computer Science