CORRECTIONS TO: Schütt, H. H., & Wichmann, F. A. (2017). An image-computable psychophysical spatial vision model.
Journal of Vision, 17(12):12, 1–35,
https://doi.org/10.1167/17.12.12.
Unfortunately, our recent article “An image-computable psychophysical spatial vision model” contains an error in the database analysis we describe in the section Natural scene masking database. Due to a bug in our analysis code we divided by the average pixel value instead of the average luminance to calculate the contrast of the threshold signal.
When this bug is corrected, the correlation between predicted and measured thresholds increases substantially from
r = 0.5196 to
r = 0.5966 for the mean normalization and from
r = 0.5801 to
r = 0.6486 for the local normalization as we show in our corrected
figure. Thus, our model performs better when the analysis error is removed. With the correct analysis our model no longer overestimates performance; thus, our arguments about suboptimal decoding to explain the overestimation are void.
We apologize for this error and hope that none of our colleagues were misled by it. It is important to note that the bug did not affect the model itself, but only affected this one evaluation of our model. Thus, none of our conclusions in our article change.