What does the retina know about natural scenes?
Neural Computation
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Comparing images using joint histograms
Multimedia Systems - Special issue on video content based retrieval
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
IEEE Computer Graphics and Applications
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistics of Natural and Urban Images
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Recognizing Objects by Their Appearance Using Eigenimages
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Second order image statistics in computer graphics
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Introduction to Color Imaging Science
Introduction to Color Imaging Science
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Natural images exhibit statistical regularities that differentiate them from random collections of pixels. Moreover, the human visual system appears to have evolved to exploit such statistical regularities. As computer graphics is concerned with producing imagery for observation by humans, it would be prudent to understand which statistical regularities occur in nature, so they can be emulated by image synthesis methods. In this course we introduce all aspects of natural image statistics, ranging from data collection to analysis and finally their applications in computer graphics, computational photography, visualization and image processing.