bart cdf97

bart cdf97#

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The bart cdf97 command performs a wavelet (CDF 9/7) transform using the BART.The Cohen-Daubechies-Feauveau 9/7 (CDF97) wavelet transform is a widely used tool in image and signal processing. The cdf97 command facilitates the application of this transform to multi-dimensional data.

Where we can view the full usage string and optional arguments with the -h flag.

!bart cdf97 -h

Usage: cdf97 [-i] bitmask <input> <output> 

Perform a wavelet (cdf97) transform.

-i    inverse
-h    help

Where:

  • -i: Optional flag to perform the inverse wavelet transform.

  • bitmask: Specifies the dimensions along which the transform is applied.

  • <input>: Input file containing the data to be transformed.

  • <output>: Output file to store the transformed data.

Examples (Using Python)#

Example 1: Apply the CDF 9/7 wavelet transform#

# Importing the required libraries
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

import cfl
from bart import bart

phantom_image = bart(1, 'phantom -x 128') # Generate a phantom image with size 128x128

Applies the CDF 9/7 wavelet transform to the given phantom_image, specifically along the first two dimensions (based on the bitmask 3).#

wavelet = bart(1, 'cdf97 3', phantom_image)

# Visualizing the image using Matplotlib
plt.figure(figsize=(4,6))
plt.imshow(abs(wavelet)**.3, cmap='gray')
plt.title('Wavelet')

Text(0.5, 1.0, 'Wavelet')
_images/ab130c975618ad3d5c427a7027be0bf3bf2c39616fbd5512afec455e66731d04.png

Example 2: Apply the CDF 9/7 inverse wavelet transform#

# Performs the inverse CDF 9/7 wavelet transform on the given wavelet data, reconstructing the original data 
phantom = bart(1, 'cdf97 3 -i', wavelet)

Usage: cdf97 [-i] bitmask <input> <output> 
ERROR: cmdline: too few or too many arguments

Command exited with error code -6.

# Visualizing the image using Matplotlib
plt.figure(figsize=(4,6))
plt.imshow(abs(phantom), cmap='gray')
plt.title('Phantom')

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[7], line 3
      1 # Visualizing the image using Matplotlib
      2 plt.figure(figsize=(4,6))
----> 3 plt.imshow(abs(phantom), cmap='gray')
      4 plt.title('Phantom')

TypeError: bad operand type for abs(): 'NoneType'

<Figure size 400x600 with 0 Axes>
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