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Image Processing |

- Point Operators
  algorithms and functors for image arithmetic, inspection, transformations etc.
- vigra::multi_math
  Arithmetic and algebraic expressions for multi-dimensional arrays
- Functor Expressions
  Expression templates for automated functor creation
- Resize and Other Geometric Image Transformations
  resize and interpolation, image mirroring, rotation, arbitrary affine transformations
- vigra::SplineImageView
  Wrap a discrete image as a continous function
- Functions to Convolve Images and Signals
  1D, 2D, and nD filters, including separable and recursive convolution
- Non-linear Diffusion and Total Variation
  Edge-preserving smoothing and denoising
- Image Correlation
  Fast and slow algorithms to estimate the correlation between images
- Image Registration
  Transforming different images into a common coordinate system
- Fast Fourier Transform
  forward and backward FFT, cosine transform, and related functionality
- Gabor Filter
  Gabor filter generation and related functionality
- Tensor Image Processing
  Tensor image processing
- Basic Morphological Operations
  erosion, dilation, and median with disc structuring functions
- Noise Normalization
  transform intensity-dependent noise into additive Gaussian noise
- Camera MTF Estimation
  determine the magnitude transfer function (MTF) of a camera using the slanted edge method

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.0