… To study the spatio-chromatic structure of our images, we applied PCA to a selection of …
from both rural and human environment images (50 patches in each image from the first and 70 …

… how the visual system is tuned for such statistics in visual cortex … the statistics of natural images
and the response properties of … ) spatiochromatic properties of natural images and human …

… input, we consider the distribution of the considered samples over three relevant visual features:
… By computing these three features for the \(19 \cdot 10^{6}\) images we find a markedly …

… Our goal was to derive a spatio-chromatic contrast sensitivity function that could interpolate
… In Model 1 (“spatio-chromatic contrast sensitivity function”), the CSF was fitted separately for …

… contributions and put our work in perspective. 2 Spatiochromatic features of natural images
… is inspired by the analysis of spatiochromatic features of natural images provided in [16]. Our …

… , some recent studies suggested that spatiochromatic CSFs can be inferred from the
features of deep neural networks trained on low- and middle-levels tasks, such as image-denoising, …

… image vergence within the TF range (Additional file 1: Fig. S3b) was computed from the image
of the four-slit test formed by the model eye … considered the chromatic characteristics of the …

… spatiochromatic properties of stimuli for neuroimaging studies, because appearance of
luminance and chromatic patches may be noticeably different because of the underlying low-…

… , these statistics do not consider characteristics such as texture vs … These characteristics are
some of the key features of the … col22588-math-0025 , where SC stands for spatio-chromatic. …

… ) under these classes of natural image transformations, as the … covariance properties make
it possible for the vision system to… caused by these geometric image transformations, which, in …