Evaluation Metric
In the challenge, we utilize three evaluation metrics for assessment: Peak signal-to-noise ratio (PSNR), tone-mapped PSNR (PSNR-μ), Structural Similarity (SSIM) and multi-scale SSIM (MS-SSIM).
\(Score=\log_k(SSIM*k^{PSNR})+\log_k(MS-SSIM*k^{PSNR-µ})=PSNR+\log_k(SSIM)+PSNR-µ+\log_k(MS-SSIM)\)
In our implementation, k=1.2.
Format of Submission
To submit your results, you must provide a .zip file. The name of the zip file can be chosen at your discretion.
The validation/testing data are provided in the following format:
And as your submission, you should upload a zip file which are as the following format:
Format of Filenames
Within the zip file, each HDR reconstruction image should be named identically to its input name. For instance, the HDR reconstruction result for the input named：
7U6A3446.mat
should be named
< 7U6A3446.mat >
All the mat files should be under the same folder, there should be no subfolders in your submission.
Format of Images
Your reconstruction frames should be saved as mat format, using the uint16 datatype.
Submission