See the gallery of stimuli.
The data set recreates the stimuli used for the contrast masking measurements described in: John M. Foley, "Human luminance pattern-vision mechanisms: masking experiments require a new model," J. Opt. Soc. Am. A 11, 1710-1719 (1994). link. The detection thresholds were read from Figure 3b, data for KMF. Stimuli dimensions have been changed so that all images are square and cyclic.
The stimuli contain the detection thresholds for a Gabor patch in the presence of a masking signal. The masking signal has the same frequency as the Gabor patch. The orientation of the masking signals is 0 deg (the same orientations as the Gabor), 45 deg or 90 deg.
This is the Visual Difference Predictor for High Dynamic Range Images, C++ implementation from http://www.mpi-inf.mpg.de/resources/hdr/vdp/index.html, version 1.7
The metric is an extension of the VDP'93 metric that can better handle high dynamic range images. HDR-VDP includes, in addition to the VDP'93 feature set, a model of glare (intra-occular light scatter), photoreceptor response (single luminance channel) and the CSF that adapts locally to the pixel luminance.
The algorithm is described in: R. Mantiuk, S. Daly, K. Myszkowski, and H.P. Seidel. "Predicting visible differences in high dynamic range images: model and its calibration." In Human Vision and Electronic Imaging, 204-214, 2005.