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 test 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, you are required to name each of the denoised videos using the same name as the input clip. For example, the denoised result for a video clip named:
"noisy/1(scene number)/100(noise level)/1.tiff(frame number)"
The output of noise level 100 should also be
"output/100/1/1.tiff"
Format of Images
The denoised result should be stored as tiff images. Due to the space limitation, please submit the denoised results of each noisel level separately.
Submission