Visualizing Image Statistics
Natural image statistics is an important area of research in cognitive sciences and computer vision. Visualization of statistical results can help identify clusters and anomalies as well as analyse deviation, distribution and correlation. Furthermore, they can provide visual abstractions and symbolism for categorized data. A task-based user evaluation was carried out to compare the new visual representations (shown in Figure.1) with the conventional power spectra plots. Based on the results of the evaluation, we made further improvement of visualizations by introducing composite visual representations of image statistics.
Above image: the new visual designs of image statistics