spkit.create_signal_2d

spkit.create_signal_2d(n=100, seed=None, sg_winlen=11, sg_polyorder=1, iterations=1, max_dxdt=0.1, max_itr=None)

Generate 2D arbitary signal/image patch

Generate a 2D Grid of (n, n)

Parameters:

n: int, default=100

• number of pixels, height and width

• (n,n) matrix grid

seed: int, defualt=None,

• random seed, to re-generate same signal

sg_winlen: int,deault=11

• window length, heigher the window size, smoother the image will be

sg_polyorder: int, >0

• order of polynomial,

• higher the order, more patchy the image will be

• smaller the order, more smoother and flat-like image will be

max_dxdt: float, deafult=0.1

• maximum derivative in of the each row,

• generated row will be iteratively smoothen, untill, maximum derivative is <=`max_dxdt`

• or maximum number of iterations max_itr are achived, when (max_dxdt) is not None

max_itr: int, deafult=10

• maximum number of iterations to achive max_dxdt

• if None, then iterations are used, regardless of max_dxdt value.

iterations: int, deafault=1

• if max_itr is None, then iterations many iterations are used to smoothen the image.

Returns:

I: (n,n) array

See also

spkit

#TODO

Notes

#TODO

References

• wikipedia -

Examples

#sp.create_signal_2d
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
seed=11
I1 = sp.create_signal_2d(n=100,sg_winlen=5,seed=seed,iterations=1)
I2 = sp.create_signal_2d(n=100,sg_winlen=11,seed=seed,iterations=1)
I3 = sp.create_signal_2d(n=100,sg_winlen=31,seed=seed,iterations=1)
I = np.stack([I1,I2,I3],axis=-1)
plt.figure(figsize=(12,4))
plt.subplot(141)
plt.imshow(I1)
plt.title('I1: winlen=5')
plt.subplot(142)
plt.imshow(I2)
plt.title('I2: winlen=11')
plt.subplot(143)
plt.imshow(I3)
plt.title('I3: winlen=31')
plt.subplot(144)
plt.title('I: combined: RBG')
plt.imshow(I)
plt.show()

#################################
#sp.create_signal_2d
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
seed=11
I1 = sp.create_signal_2d(n=100,sg_polyorder=1,seed=seed,iterations=1)
I2 = sp.create_signal_2d(n=100,sg_polyorder=3,seed=seed,iterations=1)
I3 = sp.create_signal_2d(n=100,sg_polyorder=5,seed=seed,iterations=1)
I = np.stack([I1,I2,I3],axis=-1)
plt.figure(figsize=(12,4))
plt.subplot(141)
plt.imshow(I1)
plt.title('order=1')
plt.subplot(142)
plt.imshow(I2)
plt.title('order=3')
plt.subplot(143)
plt.imshow(I3)
plt.title('order=5')
plt.subplot(144)
plt.title('I: combined: RBG')
plt.imshow(I)
plt.show()

Examples using spkit.create_signal_2d

Release Highlights for spkit 0.0.9.7

Release Highlights for spkit 0.0.9.7