Filter - Table of Contents

Introduction

  1. Common
    1. Padding Method
  2. Analysis
    1. Entropy Filter
    2. Gabor Filter
    3. Symmetry Filter
    4. Texture Filter
  3. Convolution
    1. Convolution Filter
  4. Deconvolution
    1. Wiener Deconvolution Filter
  5. Denoising
    1. Anisotropic Diffusion
    2. Bilateral Filter
    3. Bilateral Filter Grid
    4. Bilateral Filter SubSampled
    5. Contraharmonic Mean Filter
    6. Fast Guided Filter
    7. FL Denoising Type 1
    8. Guided Filter
    9. Hybrid Median Filter
    10. Kuwahara Filter
    11. Mean Curvature Flow
    12. Mean Curvature Flow Weighted
    13. Mean Shift
    14. Median Filter
    15. Median Separated Filter
    16. Median Weighted Filter
    17. Non Local Means Filter
    18. Symmetric Nearest Neighbor Filter, SNN
    19. Total Variation Denoising, TVD
    20. Weighted Guided Filter
  6. Edge Detection
    1. Deviation Filter
    2. Difference of Gaussian Filter, DoG
    3. Frei Filter
    4. Gradient Filter
    5. Kirsch Filter
    6. Laplacian Filter
    7. Laplacian of Gaussian Filter, LoG
    8. Prewitt Filter
    9. Range Filter
    10. Roberts Filter
    11. Robinson Filter
    12. Scharr Filter
    13. Sobel Filter
  7. Enhancement
    1. Coherence Enhancing Diffusion, Non Neg
    2. Coherence Enhancing Diffusion, Rot Inv
    3. Edge Enhancement
    4. Emphasize Filter
    5. Highpass Filter
    6. Illuminate Filter
    7. Shock Filter
  8. Smoothing
    1. Binomial Filter
    2. Gauss Filter
    3. Gaussian Filter
    4. Geometric Mean Filter
    5. Harmonic Mean Filter
    6. Infinite Symmetric Exponential Filter, ISEF
    7. Lowpass Filter
    8. Midpoint Filter
    9. Sigma Filter
    10. Stack Blur Filter
    11. Uniform Filter