4.5.1 Diffusion Process, Survey, Overview

ter Haar Romeny, B.M.[Bart M.], (Ed.),
Geometry-Driven Diffusion in Computer Vision,
GDDCV94August 1994. Published by: BibRef 9408 KluwerSeptember 1994, ISBN 0-7923-3087-0.
WWW Link. Some listed elsewhere, some here. BibRef

• Foreword by Jan Koenderink - Utrecht University
• 
  See also Linear Scale-Space II: Early Visual Operators.
• 
  See also Anisotropic Diffusion.
• 
  See also Vector-Valued Diffusion.
• Mumford, D.[David],
  The Bayesian Rationale for Energy Functionals,
  GDDCV94(Chapter 4). Harvard University BibRef
• 
  See also Minimization of Energy Functional with Curve-Represented Edges.
• Richardson, T.J.[Thomas J.], AT&T Bell Laboratories Mitter, S.K.[Sanjoy K.], Massachusetts Institute of Technology
  Approximation, Formulation, and Distortion in the Variational Formulation,
  GDDCV94(Chapter 6). BibRef
• 
  See also Coupled Geometry-Driven Diffusion Equations for Low-Level Vision.
• 
  See also Morphological Approach to Multiscale Analysis.
• 
  See also Differential Invariant Signatures and Flows in Computer Vision: A Symmetry Group Approach.
• 
  See also On Optimal Control Methods in Computer Vision and Image Processing.
• 
  See also Nonlinear Scale-Space.
• 
  See also Differential Geometric Approach to Anisotropic Diffusion, A.
• 
  See also Numerical Analysis and Applications of Geometry-Driven Diffusion.

Perona, P.[Pietro], - California Institute of Technology Shiotan, T.[Taka], - Kyoto University Malik, J.[Jitendra], - University of California at Berkeley
Anisotropic Diffusion,
GDDCV94(Chapter 2) pp. 73-92. BibRef 9400

Weickert, J.[Joachim],
Theoretical Foundations of Anisotropic Diffusion in Image Processing,
Computing(xx), Supplement 11, 1996, pp. 221-236. BibRef 9600

Weickert, J.[Joachim],
Foundations and Applications of Anisotropic Diffusion Filtering,
Z. Angew. Math. Mech(76), Supplement 1, 1996, pp. 283-286. BibRef 9600

Weickert, J.[Joachim],
A review of Nonlinear Diffusion Filtering,
ScaleSpace97(3-28). 9702
BibRef

Caselles, V., Morel, J.M., Sapiro, G., Tannenbaum, A.,
Introduction to the Special Issue on Partial-Differential Equations and Geometry-Driven Diffusion in Image-Processing and Analysis,
IP(7), No. 3, March 1998, pp. 269-273.
IEEE DOI 9803
BibRef

Faugeras, O.D.[Olivier D.], Perona, P.[Pietro], Sapiro, G.[Guillermo],
Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics,
JVCIR(13), No. 1/2, March/June 2002, pp. 1-2.
DOI Link 0204
BibRef

Nakkiran, P.[Preetum], Bradley, A.[Arwen], Zhou, H.[Hattie], Advani, M.[Madhu],
Step-by-Step Diffusion: An Elementary Tutorial,
FTCGV(17), No. 1, 2025, pp. 1-75.
DOI Link 2504
Survey, Diffusion. Tutorial, Diffusion. BibRef

Truong, V.T.[Vu Tuan], Dang, L.B.[Luan Ba], Le, L.B.[Long Bao],
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey,
Surveys(57), No. 8, April 2025, pp. xx-yy.
DOI Link 2504
Generative models, diffusion models, backdoor attacks, adversarial attacks, membership inference attacks BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process for Enhancement, Restoration and Smoothing .