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Image Reconstruction

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Discretization of PDE (SiWiR 1) leads to matrix equation Ax = b ... equation A? = r (r is the residual of Ax=b - r = b Ax) ... Of course this is not enough ! ... – PowerPoint PPT presentation

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Title: Image Reconstruction


1
Image Reconstruction
  • Group 6
  • Zoran Golic

2
Overview
  • Problem
  • Multigrid-Algorithm
  • Results
  • Aspects worth mentioning

3
Problem
Original
Disturbed
  • Imagine an image being sent over a noisy channel
    -gt

4
Numeric Approach
  • Assume smooth image
  • Information flows from one pixel to all neighbors

5
Numeric Approach
  • Assume smooth image
  • Information flows from one pixel to all neighbors
  • Diffusionequation grad g(u)grad(u) 0

6
Numeric Approach
  • Assume smooth image
  • Information flows from one pixel to all neighbors
  • Diffusionequation grad g(u)grad(u) 0
  • g(u) is a real function that controls the flow
    (edge detection)
  • For simplification set g(u) 1

7
Intuitive Approach
  • Solve equation by an iterative solver like
    Red-Black Gauß-Seidel, CG

8
Multigrid Approach
  • Solving an image of size 128x128 pixels results
    in 16500 points per iteration

9
Multigrid Approach
  • Solving an image of size 128x128 pixels results
    in 16500 points per iteration
  • Try to solve image on a coarser grid (e.g. every
    2. point results in imagesize of 64x64 pixels -gt
    4096 points per Iteration

10
Idea of Multigrid
  • Discretization of PDE (SiWiR 1) leads to matrix
    equation Ax b

11
Idea of Multigrid
  • Discretization of PDE (SiWiR 1) leads to matrix
    equation Ax b
  • The Algebraic error is ? x - x?

12
Idea of Multigrid
  • Discretization of PDE (SiWiR 1) leads to matrix
    equation Ax b
  • The Algebraic error is ? x - x?
  • To obtain ? we solve the equivalent equation A?
    r (r is the residual of Axb
  • -gt r b Ax)

13
Algorithm
  • Step 1 Presmoothing
  • Step 2 Coarse grid correction
  • Fine grid residual calculation
  • Restriction to coarser grid
  • Solve e A-1r on coarse grid
  • Prolongate (interpolate) to fine grid error
  • Correct image

Step 3 Postsmoothing
14
Multigrid-Multigrid
  • Of course this is not enough !!
  • Ae r is again a matrix equation -gt can also be
    solved by multigrid.
  • Recursive Call needed

15
V- and W-Cycles
16
Results
17
Figures
18
Some side aspects
  • Extension for images of non-quadratic size
  • (effect on the depth of grid coarsening)
  • Residual was not used as stopping criteria of
    Gauss-Seidel.

19
Thank You
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