MSATwtdenoiser 0.0.6

Denoising a 2D signal based on wavelet

MSATwtdenoiser

A wavelet-based de-noising method designed for MethaneSAT xCH4 retrieval (or any other noisy image)

Installation

Use the package manager pip to install MSATwtdenoiser.

pip install MSATwtdenoiser

Usage

see example.py

in terms of the name of wavelets, please check out https://pywavelets.readthedocs.io/en/latest/ref/wavelets.html

or

from MSATwtdenoiser import MSATdenoise,example
example()

or

from MSATwtdenoiser import MSATdenoise
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import inspect


img = np.array(mpimg.imread('steve.jpg'))
img.astype(float)
img = np.mean(img,axis=2)
img = img+np.random.normal(0,100,[np.shape(img)[0],np.shape(img)[1]])

# denoiser

denoiser = MSATdenoise(img,'db4',5)
denoised_img = denoiser.denoised

#plotting
fig = plt.figure(figsize=(12, 3))
ax = fig.add_subplot(1, 2, 1)
ax.imshow(img, interpolation="nearest", cmap=plt.cm.gray)
ax = fig.add_subplot(1, 2, 2)
ax.imshow(denoised_img, interpolation="nearest", cmap=plt.cm.gray)
fig.tight_layout()
plt.show()

License

MIT