Validations

1. Séparation
2. Arithmétique
3. Convolueurs
4. Différentiateurs
5. Multifocale

Références

Image Processing Fundamentals

• Image Processing Fundamentals, Young, Gerbrands, van Vliet
• Digital Image Processing, Ming Jiang
• Image Reconstruction, Processing and Analysis, Ming Jiang
• HIPR Image Processing Learning Resources
• Vision Systems, Dr A D Marshall
• The Computer Vision Homepage, Carnegie Mellon
• Computer Vision IT412. Department of Computer Science
  1. Image formation in the eye and the camera
  2. Measurements and Noise
  3. Mathematical Morphology
  4. Fourier transform theory
  5. Image enhancement
  6. Classical Feature Detection, Hough Transform
  7. Feature detection via phase congruency
  8. Interpreting line drawings
  9. Camera calibration
  10. Self-calibration
  11. Stereo
  12. Motion
  13. Representation and recognition
  14. Colour Image Processing

Colorimetry

• Color technology, Charles Poynton
  • Gamma FAQ
  • Color FAQ
  • A Guided Tour of ColorSpace
  • Colour Space Conversions, Ford & Roberts (PDF)
• ColorScience, Dan Bruton
• La couleur, mode d'emploi, Daniel Nicole
• Colour Order Systems in Art and Science
• The Physics Hypertextbook: Color
• Photo Research, Inc
• more links...

Applets & Code

• Introduction to Color, Eugene Vishnevsky (RIT)
• efg's computer lab: Color Projects
• Brown Computer Science: Exploratories

Color Matching

• International Color Consortium
• A Standard Default Color Space for the Internet - sRGB, W3C
• Luminous Landscape: Understanding (Kodak) ProPhoto RGB
• Creative Pro: Exploring Wide, Open (Color) Spaces
• Bruce Fraser: Out of Gamut, the complete collection
• Creative Pro: Bruce Fraser (BruceRGB)
• Joseph Holmes (EktaSpace RGB aka JoeRGB)
• Computer Darkroom: IT8 Target Review, by Ian Lyons
• Nature Photographers: Color Spaces: Beyond Adobe RGB (ProPhotoRGB)
• Norman Koren: Color management

Academic & Research

• Rochester Institute of Technology (RIT): Munsell Color Science Laboratory hub
• RIT: Center for Imaging Science (CIS)
• RIT: Munsell Color Science Laboratory (MCSL)
• RIT: Mark Fairchild
• University of Southern California (USC): ICT Graphics Lab
• USC: Computer Graphics and Immersive Technologies (CGIT )
• Andreas Wenger
• Paul Haeberli
• Gernot Hoffmann
• Paul Debevec
• Yoav Y. Schechner

HDR (High Dynamic Range)

• rit.edu
• usc.edu
• utah.edu
• huji.ac.il
• stanford.edu
• Industrial Light & Magic

Retinex

• Retinex et le monde de la couleur, Clatz, Juan, Videau
• Retinex Image Processing, NASA Langley Research Cente
  Voir absolument:
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page4.html
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page1.html
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page14.html
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page7.html
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page21.html
  • http://dragon.larc.nasa.gov/retinex/fog_haze/page16.html
• Experiments in color vision, Wendy Carlos
• Applied Science Fiction (KODAK Austin Development Center).
  ROC m'a donné exactement le même résultat que Retinex sur une image test, c'est quand même très curieux.

Multispectral, Hyperspectral

• Hyperspectral images of natural scenes
• Bear and Fruit 1 images, David Brainard
• VariSpec, Cambridge Research & Instrumentation
• Hypercube, Topographic Engineering Center
• OKSI Opto-Knowledge Systems