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CES8AH

From digital photography to computational photography

Credits : 4 ECTS

Duration : 36 hours

Semester : S8

Person(s) in charge:

Frédéric SUR, Associate Professor,  frederic.sur@mines-nancy.univ-lorraine.fr

Keywords:

signal and image processing, algorithms, Fourier analysis, applied statistics, optimization

Prerequisites:
first-year courses in mathematics, statistics, computer science.

Goal:
Understand the mathematical models of digital photography and of image processing.

Program and contentes:

The goal of this elective course is to detail the whole image processing chain inside a digital camera, and the practical consequences of the technological constraints.

Topics of interest are:

  • general introduction to photography
  • fast Fourier transform
  • sampling and quantization
  • lossless compression, statistical theory of information
  • lossy compression: JPEG
  • color and demosaicing
  • noise in digital images, and denoising algorithms
  • image restoration, deconvolution
  • panoramic image stitchig, HDR imaging

Hands-on-training with Matlab illustrates the theory.

Additional material is available on a dedicated web page.

 

Compétences : 

Niveaux

Description et verbes opérationnels

Connaître 

 

Comprendre 

 

Appliquer 

 

Analyser 

 

Synthétiser

 

Évaluer

 

Évaluations :

  • Test écrit
  • Contrôle continu
  • Oral, soutenance
  • Projet
  • Rapport
  • Aucune étiquette