A Six-Stimulus Theory for Stochastic Texture
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Natural Image Statistics for Natural Image Segmentation
International Journal of Computer Vision
An evolutionary patch pattern approach for texture discrimination
Pattern Recognition
Spatio-chromatic image content descriptors and their analysis using extreme value theory
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
The stochastic structure of images
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Fisher information and the combination of RGB channels
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
The Weibull manifold in low-level image processing: An application to automatic image focusing
Image and Vision Computing
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Natural images are highly structured in their spatialconfiguration. Where one would expect a different spatialdistribution for every image, as each image has a differentspatiallay out, we show that the spatial statistics of recordedimages can be explained by a single process of sequentialfragmentation. The observation by a resolution limited sensorysystem turns out to have a profound influence on the observedstatistics of natural images. The power-law and normal distributionrepresent the extreme cases of sequential fragmentation. Betweenthese two extremes, spatial detail statistics deform from power-lawto normal through the Weibull type distribution as receptive fieldsize increases relative to image detail size.