ST-RRED scores?

[Susmit-A]

How do you obtain the ST-RRED scores?

The scikit-video implementation returns 3 values - (strred_array, strred, strredssn). On DAVIS, with sigma=10, all three values for denoised videos have a mean less than 0.1. The PSNR for the same set of videos is 38.94.

The sum over strred_array on each video gives an average of 5.0790 over all videos.

[m-tassano]

Extracts of the script which I use to compute all the scores can be found below. Note that I read the sequences with skvideo.io.vread as grayscale sequences. I basically use pandas to compute the means for all scores for each value of sigma and for each algorithm.

from skvideo.io import vread
from skvideo.measure import viideo_score, strred

...
# open the reference sequence
refseq = vread(seq_ref_path, num_frames=nframes, outputdict={"-pix_fmt": "gray"})

# iterate over the list of sigmas and algorithms
  for sigma, algo in product(sigmaL, algoD.keys()):
    denseq = vread(seq_den_path, num_frames=nframes, outputdict={"-pix_fmt": "gray"})
    _, strred_fr, strred_rr = strred(refseq, denseq)
...
# save all the scores as csv

Later, I use pandas to open csv and compute the mean for each metric. The results are the values which appear in the paper.