Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002.
One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc.
In this article, we will see how can we work with PNG images using Matplotlib.
Code #1: Read a PNG image using Matplotlib
Code #2: Applying pseudocolor to image
Pseudocolor is useful for enhancing contrast of image.
Code #3: We can provide another value to colormap with colorbar.
Interpolation calculates what the color or value of a pixel “should” be and this needed when we resize the image but want the same information. There’s missing space when you resize image because pixels are discrete and interpolation is how you fill that space.
Code # 4: Interpolation
Code #6: Here, ‘bicubic’ value is used for interpolation.
Code #7: ‘sinc’ value is used for interpolation.
- Working with Images in Python using Matplotlib
- Working with Images in Python
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