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The Bichromatic
Excitable
Schrodinger Metamedium
Valeri Labunets,
Ivan Artemov
and
Ekaterina Ostheimer
2
The excitable metamedium
The ways of modeling
Directly search for
solutions of equations
Simulate with a
cellular automata
- hard,
- slow,
+ accurate
+ easy,
+ fast,
- approx.
Cellular automata organization
3
Transition function in it’s general form:
Current cell and it’s
neighboring cells
Eliminating the edge effects
4
Schrodinger transition function
Schrodinger equation in 2D space:
Expanding the Laplacian expression:
5
Diffusion coefficient as a real number
In that case all cells also contain real numbers.
Propagation Interference Particle motion
Schrodinger equation turns into
diffusion equation
6
Our motivation
Tasks
Physical Mathematical
Image
processing
7
Diffusion coefficient as a complex number
Then all cells contain complex numbers, that have
module, phase, real part and imaginary part.
Propagation,
Arg{D} = 5 deg.
Propagation,
Arg{D} = 25 deg.
Propagation,
Arg{D} = 60 deg.
Module Phase
Real Imaginary
8
The experiments for a complex D – particle motion
Step #19 Step #40 Step #70
Step #95 Step #125 Step #150
9
The experiments for a complex D – interference
Step #10 Step #30 Step #50
Step #75 Step #95 Step #125
10
The experiments for a complex D
Interference
Particle
motion
Close points Distant points
Arg{D} = 30 deg. Arg{D} = 60 deg. Arg{D} = 90 deg.
11
Unusual geometries
Euclidean
geometry
Minkowski
geometry
Galilean
geometry
These have different definitions for imaginary unit’s square:
i2 = -1 i2 = +1 i2 = 0
12
Minkowski geometry
Formulas for the new kind of space:
Formulas for the Euclidean geometry (for the comparison):
13
Galilean geometry
Propagation Interference
The color excitable
Schrodinger metamedium
Valeri Labunets,
Ivan Artemov
and
Ekaterina Ostheimer
15
Diffusion coeff. as a triplet (color) number
“D” coefficient
Red ∈ [0; 255]
Green ∈ [0; 255]
Blue ∈ [0; 255]
Hue ∈ [0°; 360°]
Saturation ∈ [0; 255]
Lightness ∈ [0; 765]
All cells will now have these components
16
Color representations’ connection
RGB-format. A cell contains
three real numbers
HSL-format. A cell contains one real
and one complex number
17
Elementary cells’ components
for triplet-valued diffusion coefficient
Complex number
Real number
Single cell
18
Triplet (color) numbers
We have to define operations, that can be applied
to the introduced triplet numbers
Triplet num. 1 Triplet num. 2 Triplet num. 3+
x
=
Triplet num. 1 Triplet num. 2 Triplet num. 4=
xTriplet num. 1 Triplet num. 5=Real number
19
Simple operations for triplet numbers
Two of the previously mentioned operations with
triplet numbers are component-wise:
The rule for sum of two triplet numbers
The multiplication of a real and a triplet number
20
Advanced operation for triplet numbers
The multiplication of two triplet numbers:
21
Visualization in our program
Visualizing
Hue:
RGB
Picture
Lightness
HueSaturation
An example of a color
blending in the program
Processing result’s
output structure
22
The impact of luminance and saturation
The states for low Lightness of D
The states for low Saturation of D
The pairs of
metamedium states
are presented.
The neighboring
images are taken on
different steps of
cellular automata’s
functioning
Step #5
Step #5
Step #60
Step #60
23
Component-wise blurring
Triplet numbers and real images
High Saturation of D High Lightness of D
Images after
some steps of
cellular
automata’s work
24
The impact of a chromatic number’s phase
Some steps of cellular automata’s work
for D’s Hue = 5°
Some steps of cellular automata’s work
for D’s Hue = 30°
Top parts of all pictures represent final RGB images,
and the bottom parts represent Hue values of cells
We can change Hue of a diffusion coefficient:
25
Particle motion for color D
We excite a new cell at every step of functioning (D’s Hue is 50°)
Step # 1 Step # 16 Step # 70
Step # 100 Step # 136 Step # 176
Lightness
Saturation
RGB
Hue
26
Particle motion for color D
With D’s Hue = 5° With D’s Hue = 60° With D’s Hue = 75°
The represented results are taken on quite late steps
of cellular automata’s functioning
Let’s see how D’s Hue changes the particle motion process
27
What if a chromatic plane
uses some unusual geometry
The the rules of composing a chromatic number
of R, G and B components will change.
Hue and Saturation (i.e. the module and the
phase) will be represented through Xchr and
Ychr in a different way.
All the previously shown experiments were
performed for an Euclidean geometry in Zchr
28
Color D and the Galilean geometry for Zchr
Excited cell progress (spot propagation) – D’s Hue is 70°:
Step # 5 Step # 20 Step # 35
Step # 65 Step # 115 Step # 200
29
Color D and the Galilean geometry for Zchr
Now we are locking the work step and changing D’s Hue value
Only RGB results (top parts) and Hue components are shown.
5° 20° 40° 60° 70° 80° 89° 90°
30
Color D and Minkowski geometry for Zchr
1° 5° 45° 45°
31
Questions?
Thank you for attention!

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Valeri Labunets - The bichromatic excitable Schrodinger metamedium

  • 1. The Bichromatic Excitable Schrodinger Metamedium Valeri Labunets, Ivan Artemov and Ekaterina Ostheimer
  • 2. 2 The excitable metamedium The ways of modeling Directly search for solutions of equations Simulate with a cellular automata - hard, - slow, + accurate + easy, + fast, - approx.
  • 3. Cellular automata organization 3 Transition function in it’s general form: Current cell and it’s neighboring cells Eliminating the edge effects
  • 4. 4 Schrodinger transition function Schrodinger equation in 2D space: Expanding the Laplacian expression:
  • 5. 5 Diffusion coefficient as a real number In that case all cells also contain real numbers. Propagation Interference Particle motion Schrodinger equation turns into diffusion equation
  • 7. 7 Diffusion coefficient as a complex number Then all cells contain complex numbers, that have module, phase, real part and imaginary part. Propagation, Arg{D} = 5 deg. Propagation, Arg{D} = 25 deg. Propagation, Arg{D} = 60 deg. Module Phase Real Imaginary
  • 8. 8 The experiments for a complex D – particle motion Step #19 Step #40 Step #70 Step #95 Step #125 Step #150
  • 9. 9 The experiments for a complex D – interference Step #10 Step #30 Step #50 Step #75 Step #95 Step #125
  • 10. 10 The experiments for a complex D Interference Particle motion Close points Distant points Arg{D} = 30 deg. Arg{D} = 60 deg. Arg{D} = 90 deg.
  • 11. 11 Unusual geometries Euclidean geometry Minkowski geometry Galilean geometry These have different definitions for imaginary unit’s square: i2 = -1 i2 = +1 i2 = 0
  • 12. 12 Minkowski geometry Formulas for the new kind of space: Formulas for the Euclidean geometry (for the comparison):
  • 14. The color excitable Schrodinger metamedium Valeri Labunets, Ivan Artemov and Ekaterina Ostheimer
  • 15. 15 Diffusion coeff. as a triplet (color) number “D” coefficient Red ∈ [0; 255] Green ∈ [0; 255] Blue ∈ [0; 255] Hue ∈ [0°; 360°] Saturation ∈ [0; 255] Lightness ∈ [0; 765] All cells will now have these components
  • 16. 16 Color representations’ connection RGB-format. A cell contains three real numbers HSL-format. A cell contains one real and one complex number
  • 17. 17 Elementary cells’ components for triplet-valued diffusion coefficient Complex number Real number Single cell
  • 18. 18 Triplet (color) numbers We have to define operations, that can be applied to the introduced triplet numbers Triplet num. 1 Triplet num. 2 Triplet num. 3+ x = Triplet num. 1 Triplet num. 2 Triplet num. 4= xTriplet num. 1 Triplet num. 5=Real number
  • 19. 19 Simple operations for triplet numbers Two of the previously mentioned operations with triplet numbers are component-wise: The rule for sum of two triplet numbers The multiplication of a real and a triplet number
  • 20. 20 Advanced operation for triplet numbers The multiplication of two triplet numbers:
  • 21. 21 Visualization in our program Visualizing Hue: RGB Picture Lightness HueSaturation An example of a color blending in the program Processing result’s output structure
  • 22. 22 The impact of luminance and saturation The states for low Lightness of D The states for low Saturation of D The pairs of metamedium states are presented. The neighboring images are taken on different steps of cellular automata’s functioning Step #5 Step #5 Step #60 Step #60
  • 23. 23 Component-wise blurring Triplet numbers and real images High Saturation of D High Lightness of D Images after some steps of cellular automata’s work
  • 24. 24 The impact of a chromatic number’s phase Some steps of cellular automata’s work for D’s Hue = 5° Some steps of cellular automata’s work for D’s Hue = 30° Top parts of all pictures represent final RGB images, and the bottom parts represent Hue values of cells We can change Hue of a diffusion coefficient:
  • 25. 25 Particle motion for color D We excite a new cell at every step of functioning (D’s Hue is 50°) Step # 1 Step # 16 Step # 70 Step # 100 Step # 136 Step # 176 Lightness Saturation RGB Hue
  • 26. 26 Particle motion for color D With D’s Hue = 5° With D’s Hue = 60° With D’s Hue = 75° The represented results are taken on quite late steps of cellular automata’s functioning Let’s see how D’s Hue changes the particle motion process
  • 27. 27 What if a chromatic plane uses some unusual geometry The the rules of composing a chromatic number of R, G and B components will change. Hue and Saturation (i.e. the module and the phase) will be represented through Xchr and Ychr in a different way. All the previously shown experiments were performed for an Euclidean geometry in Zchr
  • 28. 28 Color D and the Galilean geometry for Zchr Excited cell progress (spot propagation) – D’s Hue is 70°: Step # 5 Step # 20 Step # 35 Step # 65 Step # 115 Step # 200
  • 29. 29 Color D and the Galilean geometry for Zchr Now we are locking the work step and changing D’s Hue value Only RGB results (top parts) and Hue components are shown. 5° 20° 40° 60° 70° 80° 89° 90°
  • 30. 30 Color D and Minkowski geometry for Zchr 1° 5° 45° 45°
  • 32. Thank you for attention!