The challenge on
Raw Image Based Over-Exposure Correction

Evaluation Metric

We employ the standard Peak Signal To Noise Ratio (PSNR) and the Structural Similarity Index (SSIM) in grayscale, as is commonly used in the literature. The final evaluation metric can be calculated using the following formula:

\(Score = \log_k(SSIM * k^{PSNR}) = PSNR + \log_k(SSIM)\)

In our implementation, k=1.2.

Format of Submission

The Validation and Testing data are provided in the following format:

And as your submission, you should upload a zip file which are as the following format , and different ratio level should be submitted separately:

Format of Filenames
Within the zip file, you are required to name each of the result image using the same name as the input image name, and save as .png format. For example, the input file for the test set named:

1_1.mat

The generated result should be

< 1_1.png >

All the .png files should be under the same folder, there should be no subfolders in your submission.

Submission

https://codalab.lisn.upsaclay.fr/competitions/17684